{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from pandas import DataFrame \n",
    "import nltk\n",
    "\n",
    "from sklearn.neighbors import NearestNeighbors\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import neighbors\n",
    "from scipy.spatial.distance import cosine\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\n",
    "\n",
    "import re\n",
    "import string\n",
    "from wordcloud import WordCloud, STOPWORDS\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"reviewsWithHeader.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index([u'asin', u'overall', u'reviewText', u'reviewTime', u'reviewerID',\n",
      "       u'reviewerName', u'summary', u'unixReviewTime', u'HelpfulnessNumerator',\n",
      "       u'HelpfulnessDenominator'],\n",
      "      dtype='object')\n",
      "(477179, 10)\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Product based CF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>overall_x</th>\n",
       "      <th>reviewText_x</th>\n",
       "      <th>reviewTime_x</th>\n",
       "      <th>reviewerID_x</th>\n",
       "      <th>reviewerName_x</th>\n",
       "      <th>summary_x</th>\n",
       "      <th>unixReviewTime_x</th>\n",
       "      <th>HelpfulnessNumerator_x</th>\n",
       "      <th>HelpfulnessDenominator_x</th>\n",
       "      <th>overall_y</th>\n",
       "      <th>reviewText_y</th>\n",
       "      <th>reviewTime_y</th>\n",
       "      <th>reviewerID_y</th>\n",
       "      <th>reviewerName_y</th>\n",
       "      <th>summary_y</th>\n",
       "      <th>unixReviewTime_y</th>\n",
       "      <th>HelpfulnessNumerator_y</th>\n",
       "      <th>HelpfulnessDenominator_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>Very oily and creamy. Not at all what I expect...</td>\n",
       "      <td>01 30, 2014</td>\n",
       "      <td>A1YJEY40YUW4SE</td>\n",
       "      <td>Andrea</td>\n",
       "      <td>Don't waste your money</td>\n",
       "      <td>1391040000</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>3</td>\n",
       "      <td>This palette was a decent price and I was look...</td>\n",
       "      <td>04 18, 2014</td>\n",
       "      <td>A60XNB876KYML</td>\n",
       "      <td>Jessica H.</td>\n",
       "      <td>OK Palette!</td>\n",
       "      <td>1397779200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>4</td>\n",
       "      <td>The texture of this concealer pallet is fantas...</td>\n",
       "      <td>09 6, 2013</td>\n",
       "      <td>A3G6XNM240RMWA</td>\n",
       "      <td>Karen</td>\n",
       "      <td>great quality</td>\n",
       "      <td>1378425600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>2</td>\n",
       "      <td>I really can't tell what exactly this thing is...</td>\n",
       "      <td>12 8, 2013</td>\n",
       "      <td>A1PQFP6SAJ6D80</td>\n",
       "      <td>Norah</td>\n",
       "      <td>Do not work on my face</td>\n",
       "      <td>1386460800</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>3</td>\n",
       "      <td>It was a little smaller than I expected, but t...</td>\n",
       "      <td>10 19, 2013</td>\n",
       "      <td>A38FVHZTNQ271F</td>\n",
       "      <td>Nova Amor</td>\n",
       "      <td>It's okay.</td>\n",
       "      <td>1382140800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>5</td>\n",
       "      <td>I was very happy to get this palette, now I wi...</td>\n",
       "      <td>04 15, 2013</td>\n",
       "      <td>A3BTN14HIZET6Z</td>\n",
       "      <td>S. M. Randall \"WildHorseWoman\"</td>\n",
       "      <td>Very nice palette!</td>\n",
       "      <td>1365984000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>1</td>\n",
       "      <td>PLEASE DONT DO IT! this just rachett the palet...</td>\n",
       "      <td>08 16, 2013</td>\n",
       "      <td>A1Z59RFKN0M5QL</td>\n",
       "      <td>tasha \"luvely12b\"</td>\n",
       "      <td>smh!!!</td>\n",
       "      <td>1376611200</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>2</td>\n",
       "      <td>Chalky,Not Pigmented,Wears off easily,Not a Co...</td>\n",
       "      <td>09 4, 2013</td>\n",
       "      <td>AWUO9P6PL1SY8</td>\n",
       "      <td>TreMagnifique</td>\n",
       "      <td>Chalky, Not Pigmented, Wears off easily, Not a...</td>\n",
       "      <td>1378252800</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>2</td>\n",
       "      <td>Did nothing for me. Stings when I put it on. I...</td>\n",
       "      <td>07 13, 2014</td>\n",
       "      <td>A3LMILRM9OC3SA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no Lightening, no Brightening,......NOTHING</td>\n",
       "      <td>1405209600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I bought this product to get rid of the dark s...</td>\n",
       "      <td>12 27, 2013</td>\n",
       "      <td>A30IP88QK3YUIO</td>\n",
       "      <td>Amina Bint Ibraheem</td>\n",
       "      <td>Its alright</td>\n",
       "      <td>1388102400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I have mixed feelings about this product. When...</td>\n",
       "      <td>05 20, 2014</td>\n",
       "      <td>APBQH4BS48CQO</td>\n",
       "      <td>Charmmy</td>\n",
       "      <td>Mixed feelings.</td>\n",
       "      <td>1400544000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>1</td>\n",
       "      <td>Did nothing for my skin. Used as suggested and...</td>\n",
       "      <td>02 18, 2014</td>\n",
       "      <td>A3FE8W8UV95U6B</td>\n",
       "      <td>Culture C Simmons</td>\n",
       "      <td>Nothing</td>\n",
       "      <td>1392681600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>I bought this product about 3 months ago, I fi...</td>\n",
       "      <td>01 23, 2014</td>\n",
       "      <td>A1EVGDOTGFZOSS</td>\n",
       "      <td>Jessica \"Anarchykisses\"</td>\n",
       "      <td>This works</td>\n",
       "      <td>1390435200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>1</td>\n",
       "      <td>This gell did nothing at all. I religiously pu...</td>\n",
       "      <td>01 11, 2014</td>\n",
       "      <td>AP5WTCMP6DTRV</td>\n",
       "      <td>Layla B</td>\n",
       "      <td>Does nothing</td>\n",
       "      <td>1389398400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>i got this to get rid of a scar and it did jus...</td>\n",
       "      <td>02 18, 2014</td>\n",
       "      <td>A21IM16PQWKVO5</td>\n",
       "      <td>mdub9922</td>\n",
       "      <td>it works</td>\n",
       "      <td>1392681600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>2</td>\n",
       "      <td>I used it for anal bleaching and it burned a b...</td>\n",
       "      <td>04 6, 2014</td>\n",
       "      <td>A1TLDR1V4O48PK</td>\n",
       "      <td>Mickey O Neil \"Mickey O Neil\"</td>\n",
       "      <td>burns</td>\n",
       "      <td>1396742400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>5</td>\n",
       "      <td>I order this cream along with their soap. It a...</td>\n",
       "      <td>09 14, 2013</td>\n",
       "      <td>A6F8KH0J1AVYA</td>\n",
       "      <td>SanBen</td>\n",
       "      <td>Did work for me</td>\n",
       "      <td>1379116800</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>4</td>\n",
       "      <td>Good product. Use a little bit on your spot an...</td>\n",
       "      <td>10 18, 2013</td>\n",
       "      <td>AXPKZA7UZXKTT</td>\n",
       "      <td>Shirleyyy</td>\n",
       "      <td>excellent</td>\n",
       "      <td>1382054400</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3</td>\n",
       "      <td>I didn't use it past a week. The reason why is...</td>\n",
       "      <td>11 1, 2013</td>\n",
       "      <td>A2SIAYDK7GG7QA</td>\n",
       "      <td>theredtranny</td>\n",
       "      <td>weird smell</td>\n",
       "      <td>1383264000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>I haven't been a big fan of Prada's fragrances...</td>\n",
       "      <td>09 19, 2011</td>\n",
       "      <td>A1QV5IH6HDRN0L</td>\n",
       "      <td>armygirl</td>\n",
       "      <td>Love the smell of this!</td>\n",
       "      <td>1316390400</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>We gave these as gifts and everyone that recei...</td>\n",
       "      <td>08 10, 2013</td>\n",
       "      <td>A3UQXHI88S7XAX</td>\n",
       "      <td>D. Greene</td>\n",
       "      <td>Happy</td>\n",
       "      <td>1376092800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>This is the first fragrance by Prada that I lo...</td>\n",
       "      <td>11 28, 2011</td>\n",
       "      <td>A2EK2CJNJUF7OQ</td>\n",
       "      <td>Nikki</td>\n",
       "      <td>Very good</td>\n",
       "      <td>1322438400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>So I got this about a month ago. I had no plan...</td>\n",
       "      <td>05 27, 2012</td>\n",
       "      <td>A2GWNGQF9SHRE4</td>\n",
       "      <td>Pholuke \"Lepa Shandy\"</td>\n",
       "      <td>Lurrrrrrrrv.....</td>\n",
       "      <td>1338076800</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5</td>\n",
       "      <td>This product has a very fruity scent which is ...</td>\n",
       "      <td>02 2, 2013</td>\n",
       "      <td>ABV67T136UXFQ</td>\n",
       "      <td>Sandra</td>\n",
       "      <td>Great Scent</td>\n",
       "      <td>1359763200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>I'm very picky when it comes to fragrance. I l...</td>\n",
       "      <td>03 11, 2014</td>\n",
       "      <td>A2FQZKL2KIZACO</td>\n",
       "      <td>Ellie B.</td>\n",
       "      <td>Spring Garden in a Bottle</td>\n",
       "      <td>1394496000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>3</td>\n",
       "      <td>bright crystals reminds me of Victoria Secrets...</td>\n",
       "      <td>12 19, 2011</td>\n",
       "      <td>A312RDWQYLAG7S</td>\n",
       "      <td>ltg</td>\n",
       "      <td>fresh smell</td>\n",
       "      <td>1324252800</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>Got this product and I never heard of this so ...</td>\n",
       "      <td>09 8, 2013</td>\n",
       "      <td>A3TYR1ALBZ2EU9</td>\n",
       "      <td>Mananagirl6</td>\n",
       "      <td>My new smell!</td>\n",
       "      <td>1378598400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a beautiful perfume! Nice, clean scent...</td>\n",
       "      <td>02 2, 2014</td>\n",
       "      <td>AUYVMLI0CBMYS</td>\n",
       "      <td>Shay1234</td>\n",
       "      <td>One of my favs!</td>\n",
       "      <td>1391299200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>5</td>\n",
       "      <td>This is the real Versace Bright Crystal fragra...</td>\n",
       "      <td>02 14, 2014</td>\n",
       "      <td>A2H0VDRANZMGGX</td>\n",
       "      <td>Shoe luva</td>\n",
       "      <td>Smells clean</td>\n",
       "      <td>1392336000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>3</td>\n",
       "      <td>I love it! and will continue using it but it's...</td>\n",
       "      <td>02 12, 2014</td>\n",
       "      <td>A2MZDI3I5AEL74</td>\n",
       "      <td>Y. Siani \"I love nini\"</td>\n",
       "      <td>Love the smell but a shame it's not last as long</td>\n",
       "      <td>1392163200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477149</th>\n",
       "      <td>B00KA602SY</td>\n",
       "      <td>5</td>\n",
       "      <td>I really like this shirt, very comfortable and...</td>\n",
       "      <td>06 22, 2014</td>\n",
       "      <td>ANNHM5C3DX72Q</td>\n",
       "      <td>Tracey Simmons</td>\n",
       "      <td>Very nice</td>\n",
       "      <td>1403395200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477150</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>2</td>\n",
       "      <td>For tiny teenagers.</td>\n",
       "      <td>07 20, 2014</td>\n",
       "      <td>A2FENE35P9Z592</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Teeny pants</td>\n",
       "      <td>1405814400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477151</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>4</td>\n",
       "      <td>Like these pants, 1st time I wore them I rippe...</td>\n",
       "      <td>06 6, 2014</td>\n",
       "      <td>AODACROYFBAY</td>\n",
       "      <td>Denise M Nelson</td>\n",
       "      <td>fabric is thin</td>\n",
       "      <td>1402012800</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477152</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>3</td>\n",
       "      <td>I should have waited until I owned the first p...</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>A3O26N290U3VI0</td>\n",
       "      <td>Khouri</td>\n",
       "      <td>so, this is weird</td>\n",
       "      <td>1404691200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477153</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>1</td>\n",
       "      <td>Arrived with what looked like a bleach stain o...</td>\n",
       "      <td>06 23, 2014</td>\n",
       "      <td>A15WDJOU6B9FLQ</td>\n",
       "      <td>L. Atwood \"Bothell\"</td>\n",
       "      <td>Stained</td>\n",
       "      <td>1403481600</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477154</th>\n",
       "      <td>B00KCWMG5S</td>\n",
       "      <td>2</td>\n",
       "      <td>Trying to decide if return or just give away t...</td>\n",
       "      <td>06 5, 2014</td>\n",
       "      <td>AG5N21TGDQWRJ</td>\n",
       "      <td>Lori Mohler</td>\n",
       "      <td>just too small</td>\n",
       "      <td>1401926400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477155</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a (2) pack of balcalavas that can be c...</td>\n",
       "      <td>06 27, 2014</td>\n",
       "      <td>A12DQZKRKTNF5E</td>\n",
       "      <td>Andrea Polk</td>\n",
       "      <td>Quality set with multiple configurations</td>\n",
       "      <td>1403827200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477156</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>I really wish I had these a few months ago whe...</td>\n",
       "      <td>06 7, 2014</td>\n",
       "      <td>A25C2M3QF9G7OQ</td>\n",
       "      <td>Comdet</td>\n",
       "      <td>I&amp;#8217;m ready for another frigid blast (or a...</td>\n",
       "      <td>1402099200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477157</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>If you are an outdoor person and are outdoors ...</td>\n",
       "      <td>06 4, 2014</td>\n",
       "      <td>ABDR6IJ93HFIO</td>\n",
       "      <td>Daisy \"Daisy S\"</td>\n",
       "      <td>Wonderful for one who is outdoors in cold weat...</td>\n",
       "      <td>1401840000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477158</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>l  know now just what I am going as for Hallow...</td>\n",
       "      <td>06 16, 2014</td>\n",
       "      <td>A3BFDEBT5IV4UN</td>\n",
       "      <td>Dianne E. Socci-Tetro \"Never Judge a Book by ...</td>\n",
       "      <td>Look Mom I'm a Ninja...No, I'm a Motorcycle  M...</td>\n",
       "      <td>1402876800</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477159</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>I go walking a lot in all kinds of weather and...</td>\n",
       "      <td>06 16, 2014</td>\n",
       "      <td>A1EVV74UQYVKRY</td>\n",
       "      <td>K. Groh</td>\n",
       "      <td>Great for Winter or Chilly Walks</td>\n",
       "      <td>1402876800</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477160</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This two pack of Balaclavas makes for a very n...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>ABUE0ALHKWKHC</td>\n",
       "      <td>Kiwi</td>\n",
       "      <td>Nice soft protection from the elements.....</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477161</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>Well, the first thing I did was try the balacl...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>A1PI8VBCXXSGC7</td>\n",
       "      <td>Lynn</td>\n",
       "      <td>Love that my ears have two layers of protectio...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477162</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>While balaclavas can be used for a variety of ...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>A2XX2A4OJCDNLZ</td>\n",
       "      <td>RatherLiveInKeyWest</td>\n",
       "      <td>Balaclava 2 Pack - Black - Tan - 100% Polyeste...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477163</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>5</td>\n",
       "      <td>This is truly a year round product. Here in th...</td>\n",
       "      <td>06 21, 2014</td>\n",
       "      <td>A2YKWYC3WQJX5J</td>\n",
       "      <td>Shannon Lastowski \"Queen of Caffeine\"</td>\n",
       "      <td>Fits under even a tight helmet</td>\n",
       "      <td>1403308800</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477164</th>\n",
       "      <td>B00KF9180W</td>\n",
       "      <td>4</td>\n",
       "      <td>Nice material, but not as nice as  silk or mer...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>A3UJRNI8UR4871</td>\n",
       "      <td>Wulfstan \"wulfstan\"</td>\n",
       "      <td>Lightweight &amp; useful</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477165</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>2</td>\n",
       "      <td>These were a free sample for review.  I was ex...</td>\n",
       "      <td>06 21, 2014</td>\n",
       "      <td>A34BZM6S9L7QI4</td>\n",
       "      <td>Candy Cane \"Is it just me?\"</td>\n",
       "      <td>Wanted to love these</td>\n",
       "      <td>1403308800</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477166</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>My stepmother does yoga in bare feet or regula...</td>\n",
       "      <td>07 3, 2014</td>\n",
       "      <td>A4WEZJOIZIV4U</td>\n",
       "      <td>Chuck Bittner \"Disabled comedian &amp; gamer!\"</td>\n",
       "      <td>My stepmother was impressed with the extra grip.</td>\n",
       "      <td>1404345600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477167</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>These socks are very nicely made and quite com...</td>\n",
       "      <td>06 22, 2014</td>\n",
       "      <td>A25C2M3QF9G7OQ</td>\n",
       "      <td>Comdet</td>\n",
       "      <td>A bit fussy to get on, but they work very well</td>\n",
       "      <td>1403395200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477168</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>You don&amp;#8217;t have to be a yoga or martial a...</td>\n",
       "      <td>07 5, 2014</td>\n",
       "      <td>ACJT8MUC0LRF0</td>\n",
       "      <td>D. Fowler</td>\n",
       "      <td>Very nice, comfortable non-slip socks for yoga...</td>\n",
       "      <td>1404518400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477169</th>\n",
       "      <td>B00KGCLROK</td>\n",
       "      <td>5</td>\n",
       "      <td>These are cozy and complements well for yoga. ...</td>\n",
       "      <td>06 24, 2014</td>\n",
       "      <td>A2NOW4U7W3F7RI</td>\n",
       "      <td>rpv</td>\n",
       "      <td>Cozy!</td>\n",
       "      <td>1403568000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477170</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I really hate my husband's packing system. He ...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>A1W415JP5WEAJK</td>\n",
       "      <td>Alex S</td>\n",
       "      <td>Even Husbands can do it</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477171</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>*Disclosure: I was contacted by a rep for Shac...</td>\n",
       "      <td>07 18, 2014</td>\n",
       "      <td>AX05DBU8IRUWY</td>\n",
       "      <td>C. Schmidt</td>\n",
       "      <td>Not for squares</td>\n",
       "      <td>1405641600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477172</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>This set of travel organizers includes four pi...</td>\n",
       "      <td>06 13, 2014</td>\n",
       "      <td>AEL6CQNQXONBX</td>\n",
       "      <td>Cute Chihuahua</td>\n",
       "      <td>Can be used for organization but they are grea...</td>\n",
       "      <td>1402617600</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477173</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>When I pack it looks like a disaster area in a...</td>\n",
       "      <td>06 9, 2014</td>\n",
       "      <td>ACJT8MUC0LRF0</td>\n",
       "      <td>D. Fowler</td>\n",
       "      <td>End of my packing nightmare system ...</td>\n",
       "      <td>1402272000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477174</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I don't normally go ga-ga over a product very ...</td>\n",
       "      <td>06 24, 2014</td>\n",
       "      <td>A2DG63DN704LOI</td>\n",
       "      <td>ESlayd</td>\n",
       "      <td>These have literally changed the way I travel!</td>\n",
       "      <td>1403568000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477175</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I've been traveling back and forth to England ...</td>\n",
       "      <td>06 26, 2014</td>\n",
       "      <td>A1EVV74UQYVKRY</td>\n",
       "      <td>K. Groh</td>\n",
       "      <td>Wonderful for Better Packing</td>\n",
       "      <td>1403740800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477176</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>These are very nice packing cubes and the 18 x...</td>\n",
       "      <td>06 8, 2014</td>\n",
       "      <td>A1UQBFCERIP7VJ</td>\n",
       "      <td>Margaret Picky</td>\n",
       "      <td>Convenient, lightweight, and durable</td>\n",
       "      <td>1402185600</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477177</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>I am on vacation with my family of four and th...</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>A22CW0ZHY3NJH8</td>\n",
       "      <td>Noname</td>\n",
       "      <td>Holds Up Well In Real World Test</td>\n",
       "      <td>1404691200</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477178</th>\n",
       "      <td>B00KKXCJQU</td>\n",
       "      <td>5</td>\n",
       "      <td>When I signed up to receive a free set of Shac...</td>\n",
       "      <td>06 23, 2014</td>\n",
       "      <td>A30VWT3R25QAVD</td>\n",
       "      <td>THE-DEADLY-DOG \"Living and Loving Life.\"</td>\n",
       "      <td>Don't Travel? Still Way too Useful for 'Averag...</td>\n",
       "      <td>1403481600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>477179 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              asin  overall_x  \\\n",
       "0       7806397051          1   \n",
       "1       7806397051          3   \n",
       "2       7806397051          4   \n",
       "3       7806397051          2   \n",
       "4       7806397051          3   \n",
       "5       7806397051          5   \n",
       "6       7806397051          1   \n",
       "7       7806397051          2   \n",
       "8       9759091062          2   \n",
       "9       9759091062          3   \n",
       "10      9759091062          3   \n",
       "11      9759091062          1   \n",
       "12      9759091062          5   \n",
       "13      9759091062          1   \n",
       "14      9759091062          5   \n",
       "15      9759091062          2   \n",
       "16      9759091062          5   \n",
       "17      9759091062          4   \n",
       "18      9759091062          3   \n",
       "19      9788072216          5   \n",
       "20      9788072216          5   \n",
       "21      9788072216          5   \n",
       "22      9788072216          5   \n",
       "23      9788072216          5   \n",
       "24      9790790961          5   \n",
       "25      9790790961          3   \n",
       "26      9790790961          5   \n",
       "27      9790790961          5   \n",
       "28      9790790961          5   \n",
       "29      9790790961          3   \n",
       "...            ...        ...   \n",
       "477149  B00KA602SY          5   \n",
       "477150  B00KCWMG5S          2   \n",
       "477151  B00KCWMG5S          4   \n",
       "477152  B00KCWMG5S          3   \n",
       "477153  B00KCWMG5S          1   \n",
       "477154  B00KCWMG5S          2   \n",
       "477155  B00KF9180W          5   \n",
       "477156  B00KF9180W          5   \n",
       "477157  B00KF9180W          5   \n",
       "477158  B00KF9180W          5   \n",
       "477159  B00KF9180W          4   \n",
       "477160  B00KF9180W          5   \n",
       "477161  B00KF9180W          5   \n",
       "477162  B00KF9180W          5   \n",
       "477163  B00KF9180W          5   \n",
       "477164  B00KF9180W          4   \n",
       "477165  B00KGCLROK          2   \n",
       "477166  B00KGCLROK          5   \n",
       "477167  B00KGCLROK          5   \n",
       "477168  B00KGCLROK          5   \n",
       "477169  B00KGCLROK          5   \n",
       "477170  B00KKXCJQU          5   \n",
       "477171  B00KKXCJQU          5   \n",
       "477172  B00KKXCJQU          5   \n",
       "477173  B00KKXCJQU          5   \n",
       "477174  B00KKXCJQU          5   \n",
       "477175  B00KKXCJQU          5   \n",
       "477176  B00KKXCJQU          5   \n",
       "477177  B00KKXCJQU          5   \n",
       "477178  B00KKXCJQU          5   \n",
       "\n",
       "                                             reviewText_x reviewTime_x  \\\n",
       "0       Very oily and creamy. Not at all what I expect...  01 30, 2014   \n",
       "1       This palette was a decent price and I was look...  04 18, 2014   \n",
       "2       The texture of this concealer pallet is fantas...   09 6, 2013   \n",
       "3       I really can't tell what exactly this thing is...   12 8, 2013   \n",
       "4       It was a little smaller than I expected, but t...  10 19, 2013   \n",
       "5       I was very happy to get this palette, now I wi...  04 15, 2013   \n",
       "6       PLEASE DONT DO IT! this just rachett the palet...  08 16, 2013   \n",
       "7       Chalky,Not Pigmented,Wears off easily,Not a Co...   09 4, 2013   \n",
       "8       Did nothing for me. Stings when I put it on. I...  07 13, 2014   \n",
       "9       I bought this product to get rid of the dark s...  12 27, 2013   \n",
       "10      I have mixed feelings about this product. When...  05 20, 2014   \n",
       "11      Did nothing for my skin. Used as suggested and...  02 18, 2014   \n",
       "12      I bought this product about 3 months ago, I fi...  01 23, 2014   \n",
       "13      This gell did nothing at all. I religiously pu...  01 11, 2014   \n",
       "14      i got this to get rid of a scar and it did jus...  02 18, 2014   \n",
       "15      I used it for anal bleaching and it burned a b...   04 6, 2014   \n",
       "16      I order this cream along with their soap. It a...  09 14, 2013   \n",
       "17      Good product. Use a little bit on your spot an...  10 18, 2013   \n",
       "18      I didn't use it past a week. The reason why is...   11 1, 2013   \n",
       "19      I haven't been a big fan of Prada's fragrances...  09 19, 2011   \n",
       "20      We gave these as gifts and everyone that recei...  08 10, 2013   \n",
       "21      This is the first fragrance by Prada that I lo...  11 28, 2011   \n",
       "22      So I got this about a month ago. I had no plan...  05 27, 2012   \n",
       "23      This product has a very fruity scent which is ...   02 2, 2013   \n",
       "24      I'm very picky when it comes to fragrance. I l...  03 11, 2014   \n",
       "25      bright crystals reminds me of Victoria Secrets...  12 19, 2011   \n",
       "26      Got this product and I never heard of this so ...   09 8, 2013   \n",
       "27      This is a beautiful perfume! Nice, clean scent...   02 2, 2014   \n",
       "28      This is the real Versace Bright Crystal fragra...  02 14, 2014   \n",
       "29      I love it! and will continue using it but it's...  02 12, 2014   \n",
       "...                                                   ...          ...   \n",
       "477149  I really like this shirt, very comfortable and...  06 22, 2014   \n",
       "477150                                For tiny teenagers.  07 20, 2014   \n",
       "477151  Like these pants, 1st time I wore them I rippe...   06 6, 2014   \n",
       "477152  I should have waited until I owned the first p...   07 7, 2014   \n",
       "477153  Arrived with what looked like a bleach stain o...  06 23, 2014   \n",
       "477154  Trying to decide if return or just give away t...   06 5, 2014   \n",
       "477155  This is a (2) pack of balcalavas that can be c...  06 27, 2014   \n",
       "477156  I really wish I had these a few months ago whe...   06 7, 2014   \n",
       "477157  If you are an outdoor person and are outdoors ...   06 4, 2014   \n",
       "477158  l  know now just what I am going as for Hallow...  06 16, 2014   \n",
       "477159  I go walking a lot in all kinds of weather and...  06 16, 2014   \n",
       "477160  This two pack of Balaclavas makes for a very n...   06 9, 2014   \n",
       "477161  Well, the first thing I did was try the balacl...  06 13, 2014   \n",
       "477162  While balaclavas can be used for a variety of ...  06 13, 2014   \n",
       "477163  This is truly a year round product. Here in th...  06 21, 2014   \n",
       "477164  Nice material, but not as nice as  silk or mer...   06 9, 2014   \n",
       "477165  These were a free sample for review.  I was ex...  06 21, 2014   \n",
       "477166  My stepmother does yoga in bare feet or regula...   07 3, 2014   \n",
       "477167  These socks are very nicely made and quite com...  06 22, 2014   \n",
       "477168  You don&#8217;t have to be a yoga or martial a...   07 5, 2014   \n",
       "477169  These are cozy and complements well for yoga. ...  06 24, 2014   \n",
       "477170  I really hate my husband's packing system. He ...   06 9, 2014   \n",
       "477171  *Disclosure: I was contacted by a rep for Shac...  07 18, 2014   \n",
       "477172  This set of travel organizers includes four pi...  06 13, 2014   \n",
       "477173  When I pack it looks like a disaster area in a...   06 9, 2014   \n",
       "477174  I don't normally go ga-ga over a product very ...  06 24, 2014   \n",
       "477175  I've been traveling back and forth to England ...  06 26, 2014   \n",
       "477176  These are very nice packing cubes and the 18 x...   06 8, 2014   \n",
       "477177  I am on vacation with my family of four and th...   07 7, 2014   \n",
       "477178  When I signed up to receive a free set of Shac...  06 23, 2014   \n",
       "\n",
       "          reviewerID_x                                    reviewerName_x  \\\n",
       "0       A1YJEY40YUW4SE                                            Andrea   \n",
       "1        A60XNB876KYML                                        Jessica H.   \n",
       "2       A3G6XNM240RMWA                                             Karen   \n",
       "3       A1PQFP6SAJ6D80                                             Norah   \n",
       "4       A38FVHZTNQ271F                                         Nova Amor   \n",
       "5       A3BTN14HIZET6Z                    S. M. Randall \"WildHorseWoman\"   \n",
       "6       A1Z59RFKN0M5QL                                 tasha \"luvely12b\"   \n",
       "7        AWUO9P6PL1SY8                                     TreMagnifique   \n",
       "8       A3LMILRM9OC3SA                                               NaN   \n",
       "9       A30IP88QK3YUIO                               Amina Bint Ibraheem   \n",
       "10       APBQH4BS48CQO                                           Charmmy   \n",
       "11      A3FE8W8UV95U6B                                 Culture C Simmons   \n",
       "12      A1EVGDOTGFZOSS                           Jessica \"Anarchykisses\"   \n",
       "13       AP5WTCMP6DTRV                                           Layla B   \n",
       "14      A21IM16PQWKVO5                                          mdub9922   \n",
       "15      A1TLDR1V4O48PK                     Mickey O Neil \"Mickey O Neil\"   \n",
       "16       A6F8KH0J1AVYA                                            SanBen   \n",
       "17       AXPKZA7UZXKTT                                         Shirleyyy   \n",
       "18      A2SIAYDK7GG7QA                                      theredtranny   \n",
       "19      A1QV5IH6HDRN0L                                          armygirl   \n",
       "20      A3UQXHI88S7XAX                                         D. Greene   \n",
       "21      A2EK2CJNJUF7OQ                                             Nikki   \n",
       "22      A2GWNGQF9SHRE4                             Pholuke \"Lepa Shandy\"   \n",
       "23       ABV67T136UXFQ                                            Sandra   \n",
       "24      A2FQZKL2KIZACO                                          Ellie B.   \n",
       "25      A312RDWQYLAG7S                                               ltg   \n",
       "26      A3TYR1ALBZ2EU9                                       Mananagirl6   \n",
       "27       AUYVMLI0CBMYS                                          Shay1234   \n",
       "28      A2H0VDRANZMGGX                                         Shoe luva   \n",
       "29      A2MZDI3I5AEL74                            Y. Siani \"I love nini\"   \n",
       "...                ...                                               ...   \n",
       "477149   ANNHM5C3DX72Q                                    Tracey Simmons   \n",
       "477150  A2FENE35P9Z592                                            Amanda   \n",
       "477151    AODACROYFBAY                                   Denise M Nelson   \n",
       "477152  A3O26N290U3VI0                                            Khouri   \n",
       "477153  A15WDJOU6B9FLQ                               L. Atwood \"Bothell\"   \n",
       "477154   AG5N21TGDQWRJ                                       Lori Mohler   \n",
       "477155  A12DQZKRKTNF5E                                       Andrea Polk   \n",
       "477156  A25C2M3QF9G7OQ                                            Comdet   \n",
       "477157   ABDR6IJ93HFIO                                   Daisy \"Daisy S\"   \n",
       "477158  A3BFDEBT5IV4UN  Dianne E. Socci-Tetro \"Never Judge a Book by ...   \n",
       "477159  A1EVV74UQYVKRY                                           K. Groh   \n",
       "477160   ABUE0ALHKWKHC                                              Kiwi   \n",
       "477161  A1PI8VBCXXSGC7                                              Lynn   \n",
       "477162  A2XX2A4OJCDNLZ                               RatherLiveInKeyWest   \n",
       "477163  A2YKWYC3WQJX5J             Shannon Lastowski \"Queen of Caffeine\"   \n",
       "477164  A3UJRNI8UR4871                               Wulfstan \"wulfstan\"   \n",
       "477165  A34BZM6S9L7QI4                       Candy Cane \"Is it just me?\"   \n",
       "477166   A4WEZJOIZIV4U        Chuck Bittner \"Disabled comedian & gamer!\"   \n",
       "477167  A25C2M3QF9G7OQ                                            Comdet   \n",
       "477168   ACJT8MUC0LRF0                                         D. Fowler   \n",
       "477169  A2NOW4U7W3F7RI                                               rpv   \n",
       "477170  A1W415JP5WEAJK                                            Alex S   \n",
       "477171   AX05DBU8IRUWY                                        C. Schmidt   \n",
       "477172   AEL6CQNQXONBX                                    Cute Chihuahua   \n",
       "477173   ACJT8MUC0LRF0                                         D. Fowler   \n",
       "477174  A2DG63DN704LOI                                            ESlayd   \n",
       "477175  A1EVV74UQYVKRY                                           K. Groh   \n",
       "477176  A1UQBFCERIP7VJ                                    Margaret Picky   \n",
       "477177  A22CW0ZHY3NJH8                                            Noname   \n",
       "477178  A30VWT3R25QAVD          THE-DEADLY-DOG \"Living and Loving Life.\"   \n",
       "\n",
       "                                                summary_x  unixReviewTime_x  \\\n",
       "0                                  Don't waste your money        1391040000   \n",
       "1                                             OK Palette!        1397779200   \n",
       "2                                           great quality        1378425600   \n",
       "3                                  Do not work on my face        1386460800   \n",
       "4                                              It's okay.        1382140800   \n",
       "5                                      Very nice palette!        1365984000   \n",
       "6                                                  smh!!!        1376611200   \n",
       "7       Chalky, Not Pigmented, Wears off easily, Not a...        1378252800   \n",
       "8             no Lightening, no Brightening,......NOTHING        1405209600   \n",
       "9                                             Its alright        1388102400   \n",
       "10                                        Mixed feelings.        1400544000   \n",
       "11                                                Nothing        1392681600   \n",
       "12                                             This works        1390435200   \n",
       "13                                           Does nothing        1389398400   \n",
       "14                                               it works        1392681600   \n",
       "15                                                  burns        1396742400   \n",
       "16                                        Did work for me        1379116800   \n",
       "17                                              excellent        1382054400   \n",
       "18                                            weird smell        1383264000   \n",
       "19                                Love the smell of this!        1316390400   \n",
       "20                                                  Happy        1376092800   \n",
       "21                                              Very good        1322438400   \n",
       "22                                       Lurrrrrrrrv.....        1338076800   \n",
       "23                                            Great Scent        1359763200   \n",
       "24                              Spring Garden in a Bottle        1394496000   \n",
       "25                                            fresh smell        1324252800   \n",
       "26                                          My new smell!        1378598400   \n",
       "27                                        One of my favs!        1391299200   \n",
       "28                                           Smells clean        1392336000   \n",
       "29       Love the smell but a shame it's not last as long        1392163200   \n",
       "...                                                   ...               ...   \n",
       "477149                                          Very nice        1403395200   \n",
       "477150                                        Teeny pants        1405814400   \n",
       "477151                                     fabric is thin        1402012800   \n",
       "477152                                  so, this is weird        1404691200   \n",
       "477153                                            Stained        1403481600   \n",
       "477154                                     just too small        1401926400   \n",
       "477155           Quality set with multiple configurations        1403827200   \n",
       "477156  I&#8217;m ready for another frigid blast (or a...        1402099200   \n",
       "477157  Wonderful for one who is outdoors in cold weat...        1401840000   \n",
       "477158  Look Mom I'm a Ninja...No, I'm a Motorcycle  M...        1402876800   \n",
       "477159                   Great for Winter or Chilly Walks        1402876800   \n",
       "477160        Nice soft protection from the elements.....        1402272000   \n",
       "477161  Love that my ears have two layers of protectio...        1402617600   \n",
       "477162  Balaclava 2 Pack - Black - Tan - 100% Polyeste...        1402617600   \n",
       "477163                     Fits under even a tight helmet        1403308800   \n",
       "477164                               Lightweight & useful        1402272000   \n",
       "477165                               Wanted to love these        1403308800   \n",
       "477166   My stepmother was impressed with the extra grip.        1404345600   \n",
       "477167     A bit fussy to get on, but they work very well        1403395200   \n",
       "477168  Very nice, comfortable non-slip socks for yoga...        1404518400   \n",
       "477169                                              Cozy!        1403568000   \n",
       "477170                            Even Husbands can do it        1402272000   \n",
       "477171                                    Not for squares        1405641600   \n",
       "477172  Can be used for organization but they are grea...        1402617600   \n",
       "477173             End of my packing nightmare system ...        1402272000   \n",
       "477174     These have literally changed the way I travel!        1403568000   \n",
       "477175                       Wonderful for Better Packing        1403740800   \n",
       "477176               Convenient, lightweight, and durable        1402185600   \n",
       "477177                   Holds Up Well In Real World Test        1404691200   \n",
       "477178  Don't Travel? Still Way too Useful for 'Averag...        1403481600   \n",
       "\n",
       "        HelpfulnessNumerator_x  HelpfulnessDenominator_x  overall_y  \\\n",
       "0                            3                         4          8   \n",
       "1                            1                         1          8   \n",
       "2                            0                         1          8   \n",
       "3                            2                         2          8   \n",
       "4                            0                         0          8   \n",
       "5                            1                         2          8   \n",
       "6                            1                         3          8   \n",
       "7                            0                         1          8   \n",
       "8                            0                         0         11   \n",
       "9                            0                         0         11   \n",
       "10                           0                         0         11   \n",
       "11                           0                         0         11   \n",
       "12                           0                         1         11   \n",
       "13                           0                         0         11   \n",
       "14                           0                         1         11   \n",
       "15                           0                         0         11   \n",
       "16                           2                         4         11   \n",
       "17                           2                         4         11   \n",
       "18                           0                         1         11   \n",
       "19                          24                        24          5   \n",
       "20                           0                         0          5   \n",
       "21                           1                         1          5   \n",
       "22                           2                         4          5   \n",
       "23                           0                         0          5   \n",
       "24                           1                         1          6   \n",
       "25                           0                         1          6   \n",
       "26                           0                         0          6   \n",
       "27                           0                         1          6   \n",
       "28                           1                         2          6   \n",
       "29                           0                         0          6   \n",
       "...                        ...                       ...        ...   \n",
       "477149                       0                         0          6   \n",
       "477150                       0                         0          5   \n",
       "477151                       2                         2          5   \n",
       "477152                       0                         0          5   \n",
       "477153                       1                         1          5   \n",
       "477154                       0                         0          5   \n",
       "477155                       1                         1         10   \n",
       "477156                       1                         1         10   \n",
       "477157                       2                         3         10   \n",
       "477158                       4                         5         10   \n",
       "477159                       4                         5         10   \n",
       "477160                       4                         7         10   \n",
       "477161                       5                         6         10   \n",
       "477162                       2                         3         10   \n",
       "477163                       7                         8         10   \n",
       "477164                       2                         3         10   \n",
       "477165                       1                         1          5   \n",
       "477166                       0                         0          5   \n",
       "477167                       0                         0          5   \n",
       "477168                       1                         1          5   \n",
       "477169                       0                         0          5   \n",
       "477170                       1                         1          9   \n",
       "477171                       0                         0          9   \n",
       "477172                       2                         2          9   \n",
       "477173                       1                         1          9   \n",
       "477174                       0                         1          9   \n",
       "477175                       0                         0          9   \n",
       "477176                       1                         1          9   \n",
       "477177                       2                         2          9   \n",
       "477178                       0                         1          9   \n",
       "\n",
       "        reviewText_y  reviewTime_y  reviewerID_y  reviewerName_y  summary_y  \\\n",
       "0                  8             8             8               8          8   \n",
       "1                  8             8             8               8          8   \n",
       "2                  8             8             8               8          8   \n",
       "3                  8             8             8               8          8   \n",
       "4                  8             8             8               8          8   \n",
       "5                  8             8             8               8          8   \n",
       "6                  8             8             8               8          8   \n",
       "7                  8             8             8               8          8   \n",
       "8                 11            11            11              10         11   \n",
       "9                 11            11            11              10         11   \n",
       "10                11            11            11              10         11   \n",
       "11                11            11            11              10         11   \n",
       "12                11            11            11              10         11   \n",
       "13                11            11            11              10         11   \n",
       "14                11            11            11              10         11   \n",
       "15                11            11            11              10         11   \n",
       "16                11            11            11              10         11   \n",
       "17                11            11            11              10         11   \n",
       "18                11            11            11              10         11   \n",
       "19                 5             5             5               5          5   \n",
       "20                 5             5             5               5          5   \n",
       "21                 5             5             5               5          5   \n",
       "22                 5             5             5               5          5   \n",
       "23                 5             5             5               5          5   \n",
       "24                 6             6             6               6          6   \n",
       "25                 6             6             6               6          6   \n",
       "26                 6             6             6               6          6   \n",
       "27                 6             6             6               6          6   \n",
       "28                 6             6             6               6          6   \n",
       "29                 6             6             6               6          6   \n",
       "...              ...           ...           ...             ...        ...   \n",
       "477149             6             6             6               6          6   \n",
       "477150             5             5             5               5          5   \n",
       "477151             5             5             5               5          5   \n",
       "477152             5             5             5               5          5   \n",
       "477153             5             5             5               5          5   \n",
       "477154             5             5             5               5          5   \n",
       "477155            10            10            10              10         10   \n",
       "477156            10            10            10              10         10   \n",
       "477157            10            10            10              10         10   \n",
       "477158            10            10            10              10         10   \n",
       "477159            10            10            10              10         10   \n",
       "477160            10            10            10              10         10   \n",
       "477161            10            10            10              10         10   \n",
       "477162            10            10            10              10         10   \n",
       "477163            10            10            10              10         10   \n",
       "477164            10            10            10              10         10   \n",
       "477165             5             5             5               5          5   \n",
       "477166             5             5             5               5          5   \n",
       "477167             5             5             5               5          5   \n",
       "477168             5             5             5               5          5   \n",
       "477169             5             5             5               5          5   \n",
       "477170             9             9             9               9          9   \n",
       "477171             9             9             9               9          9   \n",
       "477172             9             9             9               9          9   \n",
       "477173             9             9             9               9          9   \n",
       "477174             9             9             9               9          9   \n",
       "477175             9             9             9               9          9   \n",
       "477176             9             9             9               9          9   \n",
       "477177             9             9             9               9          9   \n",
       "477178             9             9             9               9          9   \n",
       "\n",
       "        unixReviewTime_y  HelpfulnessNumerator_y  HelpfulnessDenominator_y  \n",
       "0                      8                       8                         8  \n",
       "1                      8                       8                         8  \n",
       "2                      8                       8                         8  \n",
       "3                      8                       8                         8  \n",
       "4                      8                       8                         8  \n",
       "5                      8                       8                         8  \n",
       "6                      8                       8                         8  \n",
       "7                      8                       8                         8  \n",
       "8                     11                      11                        11  \n",
       "9                     11                      11                        11  \n",
       "10                    11                      11                        11  \n",
       "11                    11                      11                        11  \n",
       "12                    11                      11                        11  \n",
       "13                    11                      11                        11  \n",
       "14                    11                      11                        11  \n",
       "15                    11                      11                        11  \n",
       "16                    11                      11                        11  \n",
       "17                    11                      11                        11  \n",
       "18                    11                      11                        11  \n",
       "19                     5                       5                         5  \n",
       "20                     5                       5                         5  \n",
       "21                     5                       5                         5  \n",
       "22                     5                       5                         5  \n",
       "23                     5                       5                         5  \n",
       "24                     6                       6                         6  \n",
       "25                     6                       6                         6  \n",
       "26                     6                       6                         6  \n",
       "27                     6                       6                         6  \n",
       "28                     6                       6                         6  \n",
       "29                     6                       6                         6  \n",
       "...                  ...                     ...                       ...  \n",
       "477149                 6                       6                         6  \n",
       "477150                 5                       5                         5  \n",
       "477151                 5                       5                         5  \n",
       "477152                 5                       5                         5  \n",
       "477153                 5                       5                         5  \n",
       "477154                 5                       5                         5  \n",
       "477155                10                      10                        10  \n",
       "477156                10                      10                        10  \n",
       "477157                10                      10                        10  \n",
       "477158                10                      10                        10  \n",
       "477159                10                      10                        10  \n",
       "477160                10                      10                        10  \n",
       "477161                10                      10                        10  \n",
       "477162                10                      10                        10  \n",
       "477163                10                      10                        10  \n",
       "477164                10                      10                        10  \n",
       "477165                 5                       5                         5  \n",
       "477166                 5                       5                         5  \n",
       "477167                 5                       5                         5  \n",
       "477168                 5                       5                         5  \n",
       "477169                 5                       5                         5  \n",
       "477170                 9                       9                         9  \n",
       "477171                 9                       9                         9  \n",
       "477172                 9                       9                         9  \n",
       "477173                 9                       9                         9  \n",
       "477174                 9                       9                         9  \n",
       "477175                 9                       9                         9  \n",
       "477176                 9                       9                         9  \n",
       "477177                 9                       9                         9  \n",
       "477178                 9                       9                         9  \n",
       "\n",
       "[477179 rows x 19 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count = df.groupby(\"asin\", as_index=False).count()\n",
    "mean = df.groupby(\"asin\", as_index=False).mean()\n",
    "\n",
    "dfMerged = pd.merge(df, count, how='right', on=['asin'])\n",
    "dfMerged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#rename column\n",
    "dfMerged[\"totalReviewers\"] = dfMerged[\"reviewerID_y\"]\n",
    "dfMerged[\"overallScore\"] = dfMerged[\"overall_x\"]\n",
    "dfMerged[\"summaryReview\"] = dfMerged[\"summary_x\"]\n",
    "\n",
    "dfNew = dfMerged[['asin','summaryReview','overallScore',\"totalReviewers\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Selecting products which have more than 50 reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>asin</th>\n",
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       "      <th>reviewText_x</th>\n",
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       "      <th>360187</th>\n",
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       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Bronze owl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360211</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>i was pleased with this purchase! bought it as...</td>\n",
       "      <td>05 30, 2014</td>\n",
       "      <td>A27GAMYJC1U5IC</td>\n",
       "      <td>victoria1993</td>\n",
       "      <td>what a cute lil owl!</td>\n",
       "      <td>1401408000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>what a cute lil owl!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360222</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>3</td>\n",
       "      <td>Breaks very easily but is easily fixed. There ...</td>\n",
       "      <td>07 9, 2014</td>\n",
       "      <td>A1OHOGJK6QJJZP</td>\n",
       "      <td>Zoe</td>\n",
       "      <td>Ehhh.</td>\n",
       "      <td>1404864000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>3</td>\n",
       "      <td>Ehhh.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360221</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>Very cute!</td>\n",
       "      <td>07 12, 2014</td>\n",
       "      <td>A1UJ9PL8CQ5TEQ</td>\n",
       "      <td>Zayettcy</td>\n",
       "      <td>Four Stars</td>\n",
       "      <td>1405123200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>Four Stars</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360220</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>The pendant is very cute but the rhinestones a...</td>\n",
       "      <td>11 29, 2013</td>\n",
       "      <td>ARUAJ7VWW3KCI</td>\n",
       "      <td>Yuma, AZ</td>\n",
       "      <td>Great for the $$$</td>\n",
       "      <td>1385683200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>Great for the $$$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360219</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>These are just so cute, I even wear one and ha...</td>\n",
       "      <td>02 11, 2014</td>\n",
       "      <td>APFTQJGB3TFND</td>\n",
       "      <td>yblirt</td>\n",
       "      <td>cute</td>\n",
       "      <td>1392076800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>cute</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360218</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>I was expecting it to be more of a gold tint w...</td>\n",
       "      <td>01 10, 2013</td>\n",
       "      <td>A205ZO9KZY2ZD2</td>\n",
       "      <td>Winnie</td>\n",
       "      <td>It's ok</td>\n",
       "      <td>1357776000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>It's ok</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360217</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>I love the length of the chain (which I had pr...</td>\n",
       "      <td>03 1, 2013</td>\n",
       "      <td>A32QDAKOPWYW17</td>\n",
       "      <td>WillowJule</td>\n",
       "      <td>Absolutely gorgeous!</td>\n",
       "      <td>1362096000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Absolutely gorgeous!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360216</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>2</td>\n",
       "      <td>This was a waste of money. The size was too la...</td>\n",
       "      <td>11 27, 2012</td>\n",
       "      <td>A19GYKRVE3SP00</td>\n",
       "      <td>wanderlust \"wavelette\"</td>\n",
       "      <td>Way too big and unattractive.</td>\n",
       "      <td>1353974400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>2</td>\n",
       "      <td>Way too big and unattractive.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360215</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>It is a really preatty and looks good..came on...</td>\n",
       "      <td>07 14, 2013</td>\n",
       "      <td>A1MO713GHGJXZD</td>\n",
       "      <td>V. Rivera \"tbell\"</td>\n",
       "      <td>Nice preatty chain..</td>\n",
       "      <td>1373760000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>Nice preatty chain..</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360214</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>3</td>\n",
       "      <td>This necklace is good for the price it was, I ...</td>\n",
       "      <td>02 4, 2013</td>\n",
       "      <td>A5O9USKDYRKVK</td>\n",
       "      <td>vmeans</td>\n",
       "      <td>Alright</td>\n",
       "      <td>1359936000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>3</td>\n",
       "      <td>Alright</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360213</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>My friends will love them and I might just buy...</td>\n",
       "      <td>12 12, 2013</td>\n",
       "      <td>A1EHNNMTB08S2P</td>\n",
       "      <td>Vincent D.</td>\n",
       "      <td>WHO WHO!!!</td>\n",
       "      <td>1386806400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>WHO WHO!!!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360212</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>got this as a gift and she loved it. it's a cu...</td>\n",
       "      <td>12 12, 2013</td>\n",
       "      <td>A2NEV5LKP08N01</td>\n",
       "      <td>Victoria Engelen</td>\n",
       "      <td>good gift</td>\n",
       "      <td>1386806400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>good gift</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360210</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>I do like this necklace. It looks more brushed...</td>\n",
       "      <td>12 17, 2012</td>\n",
       "      <td>A1KCZKMWZGNJMD</td>\n",
       "      <td>Vickster</td>\n",
       "      <td>Nice item</td>\n",
       "      <td>1355702400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>Nice item</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359860</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>3</td>\n",
       "      <td>I loved the overall look of the necklace but I...</td>\n",
       "      <td>10 3, 2013</td>\n",
       "      <td>ARF5YAIOVLCR1</td>\n",
       "      <td>cassie</td>\n",
       "      <td>It was beautiful but the chain broke :(</td>\n",
       "      <td>1380758400</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>3</td>\n",
       "      <td>It was beautiful but the chain broke :(</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360209</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>Thought the chain would be a little longer on ...</td>\n",
       "      <td>10 25, 2013</td>\n",
       "      <td>A2DPHKB60JGENT</td>\n",
       "      <td>veronica</td>\n",
       "      <td>Cute</td>\n",
       "      <td>1382659200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>Cute</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360208</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>Super cute! The pendant is larger than I expec...</td>\n",
       "      <td>09 21, 2013</td>\n",
       "      <td>A2G4CKVW5G0K7G</td>\n",
       "      <td>Valerie Carpenter</td>\n",
       "      <td>Adorable owl pendant</td>\n",
       "      <td>1379721600</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Adorable owl pendant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360207</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>My chain is long enough, about 32\" so I can sl...</td>\n",
       "      <td>07 6, 2013</td>\n",
       "      <td>A1QM3IBH8SS6VU</td>\n",
       "      <td>Valdora</td>\n",
       "      <td>Very cute</td>\n",
       "      <td>1373068800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>Very cute</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360206</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>This is a great necklace! It arrived promptly ...</td>\n",
       "      <td>07 22, 2013</td>\n",
       "      <td>A3KHOFC9GOWQY7</td>\n",
       "      <td>UrbanFangrl</td>\n",
       "      <td>Great!</td>\n",
       "      <td>1374451200</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Great!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360205</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>Let the sellers know I wasn't completely happy...</td>\n",
       "      <td>05 13, 2013</td>\n",
       "      <td>A2SJNS7S6ECGWN</td>\n",
       "      <td>Troy Culbreth</td>\n",
       "      <td>Awesome to Deal with.</td>\n",
       "      <td>1368403200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Awesome to Deal with.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360204</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>Cuter than expected and excellent price, very ...</td>\n",
       "      <td>02 6, 2014</td>\n",
       "      <td>A3G6DMMDSOMI99</td>\n",
       "      <td>Tricia Cartinez</td>\n",
       "      <td>too cute</td>\n",
       "      <td>1391644800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>too cute</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360203</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>I got it for a friend that loves owls! She wea...</td>\n",
       "      <td>10 12, 2013</td>\n",
       "      <td>A3EAHMM1Y6JTRK</td>\n",
       "      <td>Travis Blackwell</td>\n",
       "      <td>Cheap and Chic</td>\n",
       "      <td>1381536000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Cheap and Chic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360202</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>It's cute, in a kitsch-y way. The whole owl lo...</td>\n",
       "      <td>12 26, 2012</td>\n",
       "      <td>A1QYE76M7E4ZK4</td>\n",
       "      <td>Tracy</td>\n",
       "      <td>NOT FINE JEWELRY!</td>\n",
       "      <td>1356480000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>NOT FINE JEWELRY!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360201</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>I love this Vintage Bronze Owl necklace.It is ...</td>\n",
       "      <td>09 7, 2013</td>\n",
       "      <td>AZC097NSZCUQ8</td>\n",
       "      <td>Tosha Evans</td>\n",
       "      <td>Simply beautiful :)</td>\n",
       "      <td>1378512000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Simply beautiful :)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360200</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>Everyone really loved getting one from me for ...</td>\n",
       "      <td>01 9, 2014</td>\n",
       "      <td>A3TWSE14G5PNCW</td>\n",
       "      <td>Timpee</td>\n",
       "      <td>Amazing looking</td>\n",
       "      <td>1389225600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Amazing looking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360199</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>I love this item. Colors arent the same as pic...</td>\n",
       "      <td>01 6, 2014</td>\n",
       "      <td>AD3QONCT8C302</td>\n",
       "      <td>Tiffany Gray</td>\n",
       "      <td>my favorite</td>\n",
       "      <td>1388966400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>my favorite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360223</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>4</td>\n",
       "      <td>This necklace looks just like they say, it's t...</td>\n",
       "      <td>03 9, 2014</td>\n",
       "      <td>A23TVM6UI5ULUD</td>\n",
       "      <td>Zuri Gandy</td>\n",
       "      <td>I love it</td>\n",
       "      <td>1394323200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>4</td>\n",
       "      <td>I love it</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359861</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>This item is cheap like the other reviews say,...</td>\n",
       "      <td>09 27, 2013</td>\n",
       "      <td>A2L0XMKSM2E33Y</td>\n",
       "      <td>C~A~T</td>\n",
       "      <td>Cheap but totally cute.</td>\n",
       "      <td>1380240000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Cheap but totally cute.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359971</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>Beautiful necklaces.  Exactly as pictured.</td>\n",
       "      <td>07 7, 2014</td>\n",
       "      <td>AVWYFE169YDNS</td>\n",
       "      <td>Jeanette Spalliero</td>\n",
       "      <td>Five Stars</td>\n",
       "      <td>1404691200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Five Stars</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359875</th>\n",
       "      <td>B005LERHD8</td>\n",
       "      <td>5</td>\n",
       "      <td>This is cute, durable, and a great bargain.Bet...</td>\n",
       "      <td>08 10, 2013</td>\n",
       "      <td>A1CKPO4W2C5PBK</td>\n",
       "      <td>Cheryl H.</td>\n",
       "      <td>Whoo doesn't like a bargain?</td>\n",
       "      <td>1376092800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>Whoo doesn't like a bargain?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139644</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>4</td>\n",
       "      <td>This product doesn't necessarily always work, ...</td>\n",
       "      <td>03 5, 2014</td>\n",
       "      <td>A3NFE0FB5MN60O</td>\n",
       "      <td>Pentel RSVP</td>\n",
       "      <td>Fun</td>\n",
       "      <td>1393977600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>Fun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139645</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>5</td>\n",
       "      <td>I have fairly oily skin, and live in a dusty, ...</td>\n",
       "      <td>02 20, 2013</td>\n",
       "      <td>AKJ3P4XK1KN5Y</td>\n",
       "      <td>PhoenixFalls</td>\n",
       "      <td>Fun and Effective</td>\n",
       "      <td>1361318400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Fun and Effective</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168867</th>\n",
       "      <td>B00AE078YM</td>\n",
       "      <td>2</td>\n",
       "      <td>When I first got this, I found the lack of dir...</td>\n",
       "      <td>02 3, 2013</td>\n",
       "      <td>ADY836HK6QSYR</td>\n",
       "      <td>ardnam \"ardnam\"</td>\n",
       "      <td>confusing instructions</td>\n",
       "      <td>1359849600</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>confusing instructions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139653</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>5</td>\n",
       "      <td>You get 24 individually wrapped pore strips. T...</td>\n",
       "      <td>03 28, 2013</td>\n",
       "      <td>A22CT4ZGGD2FJF</td>\n",
       "      <td>S. Chang \"Steven Chang\"</td>\n",
       "      <td>They work well!</td>\n",
       "      <td>1364428800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>They work well!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139658</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>5</td>\n",
       "      <td>I use these sparingly only because I don't wan...</td>\n",
       "      <td>12 21, 2012</td>\n",
       "      <td>AGEVRGK52SKSY</td>\n",
       "      <td>texasT</td>\n",
       "      <td>Good Price for Count and Strips work great!</td>\n",
       "      <td>1356048000</td>\n",
       "      <td>44</td>\n",
       "      <td>57</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Good Price for Count and Strips work great!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139668</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>3</td>\n",
       "      <td>My husband told me to buy this product to take...</td>\n",
       "      <td>09 3, 2013</td>\n",
       "      <td>A3U5PAYEQSSVJS</td>\n",
       "      <td>Yulya Mkhitaryan</td>\n",
       "      <td>Didn't worked for me.</td>\n",
       "      <td>1378166400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>Didn't worked for me.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67171</th>\n",
       "      <td>B0020122ZS</td>\n",
       "      <td>5</td>\n",
       "      <td>My four-year-old daughter loves this shampoo. ...</td>\n",
       "      <td>03 1, 2013</td>\n",
       "      <td>A231LBC8EGPO5L</td>\n",
       "      <td>OutlawPoet - In a Corrupt Stew \"OutlawPoet\"</td>\n",
       "      <td>Soft and Good Smelling</td>\n",
       "      <td>1362096000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Soft and Good Smelling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117911</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>4</td>\n",
       "      <td>I have thoracic-spine length hair, baby fine, ...</td>\n",
       "      <td>01 15, 2014</td>\n",
       "      <td>A1IKNUYJSRIZ3Z</td>\n",
       "      <td>Amber Macintosh</td>\n",
       "      <td>A little goes a lonnnng way</td>\n",
       "      <td>1389744000</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>A little goes a lonnnng way</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139659</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>5</td>\n",
       "      <td>Biore Deep Cleaning Pore Strips work very well...</td>\n",
       "      <td>02 18, 2013</td>\n",
       "      <td>A3U5HKDHPYBAK3</td>\n",
       "      <td>Thomas P. Troyer</td>\n",
       "      <td>Biore works well</td>\n",
       "      <td>1361145600</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Biore works well</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117909</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>5</td>\n",
       "      <td>After using this for several days, I must admi...</td>\n",
       "      <td>02 27, 2013</td>\n",
       "      <td>A1W415JP5WEAJK</td>\n",
       "      <td>Alex S</td>\n",
       "      <td>A little goes a long way</td>\n",
       "      <td>1361923200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>A little goes a long way</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117908</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>1</td>\n",
       "      <td>I was using 3 types of oil in the past = Premi...</td>\n",
       "      <td>02 14, 2013</td>\n",
       "      <td>A105TOJ6LTVMBG</td>\n",
       "      <td>Aless \"&amp;#34;I came like Water, and like Wind ...</td>\n",
       "      <td>Trust me-it's not Pure Argan Oil !!! Beware !!!</td>\n",
       "      <td>1360800000</td>\n",
       "      <td>15</td>\n",
       "      <td>56</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>Trust me-it's not Pure Argan Oil !!! Beware !!!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117907</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>5</td>\n",
       "      <td>Pura d'or Argan Oil is the best oil I have eve...</td>\n",
       "      <td>03 10, 2013</td>\n",
       "      <td>AQ8DU6XVA3USJ</td>\n",
       "      <td>Alejandra Vernon \"artist &amp; illustrator\"</td>\n",
       "      <td>Morocco's Magnificent Oil</td>\n",
       "      <td>1362873600</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Morocco's Magnificent Oil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117906</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>5</td>\n",
       "      <td>It's really good for the face and skin!!! I tr...</td>\n",
       "      <td>04 19, 2014</td>\n",
       "      <td>A355O3NILU2AXP</td>\n",
       "      <td>A. Andrade</td>\n",
       "      <td>very good!!!</td>\n",
       "      <td>1397865600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>very good!!!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117905</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>1</td>\n",
       "      <td>I did not have a good experience with this pro...</td>\n",
       "      <td>04 29, 2014</td>\n",
       "      <td>A1E80M6BKJSMRG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Did not work for me..</td>\n",
       "      <td>1398729600</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>Did not work for me..</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67170</th>\n",
       "      <td>B0020122ZS</td>\n",
       "      <td>5</td>\n",
       "      <td>Nice subte smell. The coconut smell doesn't re...</td>\n",
       "      <td>02 27, 2013</td>\n",
       "      <td>A1ODOGXEYECQQ8</td>\n",
       "      <td>Nuknuk</td>\n",
       "      <td>Nice subtle smell.  Shiny hair.</td>\n",
       "      <td>1361923200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Nice subtle smell.  Shiny hair.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168924</th>\n",
       "      <td>B00AE078YM</td>\n",
       "      <td>4</td>\n",
       "      <td>I notice that the huge majority of reviews com...</td>\n",
       "      <td>05 6, 2013</td>\n",
       "      <td>AHUT55E980RDR</td>\n",
       "      <td>Neal C. Reynolds</td>\n",
       "      <td>Works well for us guys too</td>\n",
       "      <td>1367798400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>Works well for us guys too</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67169</th>\n",
       "      <td>B0020122ZS</td>\n",
       "      <td>5</td>\n",
       "      <td>My daughter takes her own showers and invariab...</td>\n",
       "      <td>02 21, 2013</td>\n",
       "      <td>AUV3OR951650C</td>\n",
       "      <td>N. Porter</td>\n",
       "      <td>Great idea for grade school children!</td>\n",
       "      <td>1361404800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Great idea for grade school children!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67168</th>\n",
       "      <td>B0020122ZS</td>\n",
       "      <td>4</td>\n",
       "      <td>My daughter is one of those kids who just does...</td>\n",
       "      <td>03 22, 2013</td>\n",
       "      <td>A22CW0ZHY3NJH8</td>\n",
       "      <td>Noname</td>\n",
       "      <td>Helps manages children's hair</td>\n",
       "      <td>1363910400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>Helps manages children's hair</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168888</th>\n",
       "      <td>B00AE078YM</td>\n",
       "      <td>3</td>\n",
       "      <td>I both dislike and like this product.  Is that...</td>\n",
       "      <td>02 17, 2013</td>\n",
       "      <td>A2E4R7YISIM4QM</td>\n",
       "      <td>E-Cowboy</td>\n",
       "      <td>Mixed bag</td>\n",
       "      <td>1361059200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>Mixed bag</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117910</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>5</td>\n",
       "      <td>Pura D'or Pure Organic Argan Oil is a thin oil...</td>\n",
       "      <td>03 16, 2013</td>\n",
       "      <td>A2D1LPEUCTNT8X</td>\n",
       "      <td>Ali Julia</td>\n",
       "      <td>Effective, long lasting, unscented</td>\n",
       "      <td>1363392000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Effective, long lasting, unscented</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139667</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>5</td>\n",
       "      <td>I've been using these for a long time and they...</td>\n",
       "      <td>12 8, 2013</td>\n",
       "      <td>A2RPGCVEQ8CQWC</td>\n",
       "      <td>Yoanna</td>\n",
       "      <td>The way to clean, healthy skin starts here!</td>\n",
       "      <td>1386460800</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>The way to clean, healthy skin starts here!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139665</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>5</td>\n",
       "      <td>apply on nose and wait long. like 10 min.dont ...</td>\n",
       "      <td>03 8, 2014</td>\n",
       "      <td>A28ZCJZ4JCWDJ5</td>\n",
       "      <td>virji1988</td>\n",
       "      <td>works great</td>\n",
       "      <td>1394236800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>works great</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117904</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>5</td>\n",
       "      <td>I use this as my night time facial moisturizer...</td>\n",
       "      <td>04 3, 2014</td>\n",
       "      <td>A1G5EJU5Q03MIF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Great Product</td>\n",
       "      <td>1396483200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Great Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139660</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>4</td>\n",
       "      <td>I was advised by a doctor that nose strips sti...</td>\n",
       "      <td>01 2, 2014</td>\n",
       "      <td>A3KQZAIWD70XYD</td>\n",
       "      <td>Thy Do</td>\n",
       "      <td>Effective yet not protective, pores arent smal...</td>\n",
       "      <td>1388620800</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>Effective yet not protective, pores arent smal...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139661</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>4</td>\n",
       "      <td>These are a good little product. They really d...</td>\n",
       "      <td>07 18, 2013</td>\n",
       "      <td>A2X0C9E34P5O53</td>\n",
       "      <td>TJsweet</td>\n",
       "      <td>Have always been a fan</td>\n",
       "      <td>1374105600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>Have always been a fan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139663</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>2</td>\n",
       "      <td>I have a lot of whiteheads across the cheek ar...</td>\n",
       "      <td>04 22, 2014</td>\n",
       "      <td>A3OXB8POGTLMFY</td>\n",
       "      <td>Tracy</td>\n",
       "      <td>didn't get whiteheads</td>\n",
       "      <td>1398124800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>didn't get whiteheads</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139664</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>4</td>\n",
       "      <td>Before I go on to give these strips a modest p...</td>\n",
       "      <td>02 6, 2013</td>\n",
       "      <td>AY6A8KPYCE6B0</td>\n",
       "      <td>Tyson</td>\n",
       "      <td>Easy to use, effective, feels good</td>\n",
       "      <td>1360108800</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>Easy to use, effective, feels good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139662</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>5</td>\n",
       "      <td>OMG! It worked!It hurts so much when you pull ...</td>\n",
       "      <td>02 12, 2013</td>\n",
       "      <td>A15V46DLC5ODBH</td>\n",
       "      <td>to</td>\n",
       "      <td>Love it !!!</td>\n",
       "      <td>1360627200</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Love it !!!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139666</th>\n",
       "      <td>B006RFZ66K</td>\n",
       "      <td>4</td>\n",
       "      <td>This product works by sticking onto the debris...</td>\n",
       "      <td>03 21, 2013</td>\n",
       "      <td>AYPIF2S8P3RZT</td>\n",
       "      <td>Vyshtia</td>\n",
       "      <td>Exfoliate before using</td>\n",
       "      <td>1363824000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>4</td>\n",
       "      <td>Exfoliate before using</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117903</th>\n",
       "      <td>B004Z209HS</td>\n",
       "      <td>5</td>\n",
       "      <td>I live this oil!!!! I have been using this sol...</td>\n",
       "      <td>05 19, 2014</td>\n",
       "      <td>ADPMGLFFGSAAQ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Great a Moisturizer!</td>\n",
       "      <td>1400457600</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>5</td>\n",
       "      <td>Great a Moisturizer!</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39731 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              asin  overall_x  \\\n",
       "360187  B005LERHD8          5   \n",
       "360211  B005LERHD8          5   \n",
       "360222  B005LERHD8          3   \n",
       "360221  B005LERHD8          4   \n",
       "360220  B005LERHD8          4   \n",
       "360219  B005LERHD8          5   \n",
       "360218  B005LERHD8          4   \n",
       "360217  B005LERHD8          5   \n",
       "360216  B005LERHD8          2   \n",
       "360215  B005LERHD8          4   \n",
       "360214  B005LERHD8          3   \n",
       "360213  B005LERHD8          5   \n",
       "360212  B005LERHD8          5   \n",
       "360210  B005LERHD8          4   \n",
       "359860  B005LERHD8          3   \n",
       "360209  B005LERHD8          4   \n",
       "360208  B005LERHD8          5   \n",
       "360207  B005LERHD8          4   \n",
       "360206  B005LERHD8          5   \n",
       "360205  B005LERHD8          5   \n",
       "360204  B005LERHD8          5   \n",
       "360203  B005LERHD8          5   \n",
       "360202  B005LERHD8          4   \n",
       "360201  B005LERHD8          5   \n",
       "360200  B005LERHD8          5   \n",
       "360199  B005LERHD8          5   \n",
       "360223  B005LERHD8          4   \n",
       "359861  B005LERHD8          5   \n",
       "359971  B005LERHD8          5   \n",
       "359875  B005LERHD8          5   \n",
       "...            ...        ...   \n",
       "139644  B006RFZ66K          4   \n",
       "139645  B006RFZ66K          5   \n",
       "168867  B00AE078YM          2   \n",
       "139653  B006RFZ66K          5   \n",
       "139658  B006RFZ66K          5   \n",
       "139668  B006RFZ66K          3   \n",
       "67171   B0020122ZS          5   \n",
       "117911  B004Z209HS          4   \n",
       "139659  B006RFZ66K          5   \n",
       "117909  B004Z209HS          5   \n",
       "117908  B004Z209HS          1   \n",
       "117907  B004Z209HS          5   \n",
       "117906  B004Z209HS          5   \n",
       "117905  B004Z209HS          1   \n",
       "67170   B0020122ZS          5   \n",
       "168924  B00AE078YM          4   \n",
       "67169   B0020122ZS          5   \n",
       "67168   B0020122ZS          4   \n",
       "168888  B00AE078YM          3   \n",
       "117910  B004Z209HS          5   \n",
       "139667  B006RFZ66K          5   \n",
       "139665  B006RFZ66K          5   \n",
       "117904  B004Z209HS          5   \n",
       "139660  B006RFZ66K          4   \n",
       "139661  B006RFZ66K          4   \n",
       "139663  B006RFZ66K          2   \n",
       "139664  B006RFZ66K          4   \n",
       "139662  B006RFZ66K          5   \n",
       "139666  B006RFZ66K          4   \n",
       "117903  B004Z209HS          5   \n",
       "\n",
       "                                             reviewText_x reviewTime_x  \\\n",
       "360187  Love it so cute! Tones of compliments on it. I...   12 2, 2013   \n",
       "360211  i was pleased with this purchase! bought it as...  05 30, 2014   \n",
       "360222  Breaks very easily but is easily fixed. There ...   07 9, 2014   \n",
       "360221                                         Very cute!  07 12, 2014   \n",
       "360220  The pendant is very cute but the rhinestones a...  11 29, 2013   \n",
       "360219  These are just so cute, I even wear one and ha...  02 11, 2014   \n",
       "360218  I was expecting it to be more of a gold tint w...  01 10, 2013   \n",
       "360217  I love the length of the chain (which I had pr...   03 1, 2013   \n",
       "360216  This was a waste of money. The size was too la...  11 27, 2012   \n",
       "360215  It is a really preatty and looks good..came on...  07 14, 2013   \n",
       "360214  This necklace is good for the price it was, I ...   02 4, 2013   \n",
       "360213  My friends will love them and I might just buy...  12 12, 2013   \n",
       "360212  got this as a gift and she loved it. it's a cu...  12 12, 2013   \n",
       "360210  I do like this necklace. It looks more brushed...  12 17, 2012   \n",
       "359860  I loved the overall look of the necklace but I...   10 3, 2013   \n",
       "360209  Thought the chain would be a little longer on ...  10 25, 2013   \n",
       "360208  Super cute! The pendant is larger than I expec...  09 21, 2013   \n",
       "360207  My chain is long enough, about 32\" so I can sl...   07 6, 2013   \n",
       "360206  This is a great necklace! It arrived promptly ...  07 22, 2013   \n",
       "360205  Let the sellers know I wasn't completely happy...  05 13, 2013   \n",
       "360204  Cuter than expected and excellent price, very ...   02 6, 2014   \n",
       "360203  I got it for a friend that loves owls! She wea...  10 12, 2013   \n",
       "360202  It's cute, in a kitsch-y way. The whole owl lo...  12 26, 2012   \n",
       "360201  I love this Vintage Bronze Owl necklace.It is ...   09 7, 2013   \n",
       "360200  Everyone really loved getting one from me for ...   01 9, 2014   \n",
       "360199  I love this item. Colors arent the same as pic...   01 6, 2014   \n",
       "360223  This necklace looks just like they say, it's t...   03 9, 2014   \n",
       "359861  This item is cheap like the other reviews say,...  09 27, 2013   \n",
       "359971         Beautiful necklaces.  Exactly as pictured.   07 7, 2014   \n",
       "359875  This is cute, durable, and a great bargain.Bet...  08 10, 2013   \n",
       "...                                                   ...          ...   \n",
       "139644  This product doesn't necessarily always work, ...   03 5, 2014   \n",
       "139645  I have fairly oily skin, and live in a dusty, ...  02 20, 2013   \n",
       "168867  When I first got this, I found the lack of dir...   02 3, 2013   \n",
       "139653  You get 24 individually wrapped pore strips. T...  03 28, 2013   \n",
       "139658  I use these sparingly only because I don't wan...  12 21, 2012   \n",
       "139668  My husband told me to buy this product to take...   09 3, 2013   \n",
       "67171   My four-year-old daughter loves this shampoo. ...   03 1, 2013   \n",
       "117911  I have thoracic-spine length hair, baby fine, ...  01 15, 2014   \n",
       "139659  Biore Deep Cleaning Pore Strips work very well...  02 18, 2013   \n",
       "117909  After using this for several days, I must admi...  02 27, 2013   \n",
       "117908  I was using 3 types of oil in the past = Premi...  02 14, 2013   \n",
       "117907  Pura d'or Argan Oil is the best oil I have eve...  03 10, 2013   \n",
       "117906  It's really good for the face and skin!!! I tr...  04 19, 2014   \n",
       "117905  I did not have a good experience with this pro...  04 29, 2014   \n",
       "67170   Nice subte smell. The coconut smell doesn't re...  02 27, 2013   \n",
       "168924  I notice that the huge majority of reviews com...   05 6, 2013   \n",
       "67169   My daughter takes her own showers and invariab...  02 21, 2013   \n",
       "67168   My daughter is one of those kids who just does...  03 22, 2013   \n",
       "168888  I both dislike and like this product.  Is that...  02 17, 2013   \n",
       "117910  Pura D'or Pure Organic Argan Oil is a thin oil...  03 16, 2013   \n",
       "139667  I've been using these for a long time and they...   12 8, 2013   \n",
       "139665  apply on nose and wait long. like 10 min.dont ...   03 8, 2014   \n",
       "117904  I use this as my night time facial moisturizer...   04 3, 2014   \n",
       "139660  I was advised by a doctor that nose strips sti...   01 2, 2014   \n",
       "139661  These are a good little product. They really d...  07 18, 2013   \n",
       "139663  I have a lot of whiteheads across the cheek ar...  04 22, 2014   \n",
       "139664  Before I go on to give these strips a modest p...   02 6, 2013   \n",
       "139662  OMG! It worked!It hurts so much when you pull ...  02 12, 2013   \n",
       "139666  This product works by sticking onto the debris...  03 21, 2013   \n",
       "117903  I live this oil!!!! I have been using this sol...  05 19, 2014   \n",
       "\n",
       "          reviewerID_x                                    reviewerName_x  \\\n",
       "360187  A2XL8GPL563XRK                                            SweetJ   \n",
       "360211  A27GAMYJC1U5IC                                      victoria1993   \n",
       "360222  A1OHOGJK6QJJZP                                               Zoe   \n",
       "360221  A1UJ9PL8CQ5TEQ                                          Zayettcy   \n",
       "360220   ARUAJ7VWW3KCI                                          Yuma, AZ   \n",
       "360219   APFTQJGB3TFND                                            yblirt   \n",
       "360218  A205ZO9KZY2ZD2                                            Winnie   \n",
       "360217  A32QDAKOPWYW17                                        WillowJule   \n",
       "360216  A19GYKRVE3SP00                            wanderlust \"wavelette\"   \n",
       "360215  A1MO713GHGJXZD                                 V. Rivera \"tbell\"   \n",
       "360214   A5O9USKDYRKVK                                            vmeans   \n",
       "360213  A1EHNNMTB08S2P                                        Vincent D.   \n",
       "360212  A2NEV5LKP08N01                                  Victoria Engelen   \n",
       "360210  A1KCZKMWZGNJMD                                          Vickster   \n",
       "359860   ARF5YAIOVLCR1                                            cassie   \n",
       "360209  A2DPHKB60JGENT                                          veronica   \n",
       "360208  A2G4CKVW5G0K7G                                 Valerie Carpenter   \n",
       "360207  A1QM3IBH8SS6VU                                           Valdora   \n",
       "360206  A3KHOFC9GOWQY7                                       UrbanFangrl   \n",
       "360205  A2SJNS7S6ECGWN                                     Troy Culbreth   \n",
       "360204  A3G6DMMDSOMI99                                   Tricia Cartinez   \n",
       "360203  A3EAHMM1Y6JTRK                                  Travis Blackwell   \n",
       "360202  A1QYE76M7E4ZK4                                             Tracy   \n",
       "360201   AZC097NSZCUQ8                                       Tosha Evans   \n",
       "360200  A3TWSE14G5PNCW                                            Timpee   \n",
       "360199   AD3QONCT8C302                                      Tiffany Gray   \n",
       "360223  A23TVM6UI5ULUD                                        Zuri Gandy   \n",
       "359861  A2L0XMKSM2E33Y                                             C~A~T   \n",
       "359971   AVWYFE169YDNS                                Jeanette Spalliero   \n",
       "359875  A1CKPO4W2C5PBK                                         Cheryl H.   \n",
       "...                ...                                               ...   \n",
       "139644  A3NFE0FB5MN60O                                       Pentel RSVP   \n",
       "139645   AKJ3P4XK1KN5Y                                      PhoenixFalls   \n",
       "168867   ADY836HK6QSYR                                   ardnam \"ardnam\"   \n",
       "139653  A22CT4ZGGD2FJF                           S. Chang \"Steven Chang\"   \n",
       "139658   AGEVRGK52SKSY                                            texasT   \n",
       "139668  A3U5PAYEQSSVJS                                  Yulya Mkhitaryan   \n",
       "67171   A231LBC8EGPO5L       OutlawPoet - In a Corrupt Stew \"OutlawPoet\"   \n",
       "117911  A1IKNUYJSRIZ3Z                                   Amber Macintosh   \n",
       "139659  A3U5HKDHPYBAK3                                  Thomas P. Troyer   \n",
       "117909  A1W415JP5WEAJK                                            Alex S   \n",
       "117908  A105TOJ6LTVMBG  Aless \"&#34;I came like Water, and like Wind ...   \n",
       "117907   AQ8DU6XVA3USJ           Alejandra Vernon \"artist & illustrator\"   \n",
       "117906  A355O3NILU2AXP                                        A. Andrade   \n",
       "117905  A1E80M6BKJSMRG                                               NaN   \n",
       "67170   A1ODOGXEYECQQ8                                            Nuknuk   \n",
       "168924   AHUT55E980RDR                                  Neal C. Reynolds   \n",
       "67169    AUV3OR951650C                                         N. Porter   \n",
       "67168   A22CW0ZHY3NJH8                                            Noname   \n",
       "168888  A2E4R7YISIM4QM                                          E-Cowboy   \n",
       "117910  A2D1LPEUCTNT8X                                         Ali Julia   \n",
       "139667  A2RPGCVEQ8CQWC                                            Yoanna   \n",
       "139665  A28ZCJZ4JCWDJ5                                         virji1988   \n",
       "117904  A1G5EJU5Q03MIF                                               NaN   \n",
       "139660  A3KQZAIWD70XYD                                            Thy Do   \n",
       "139661  A2X0C9E34P5O53                                           TJsweet   \n",
       "139663  A3OXB8POGTLMFY                                             Tracy   \n",
       "139664   AY6A8KPYCE6B0                                             Tyson   \n",
       "139662  A15V46DLC5ODBH                                                to   \n",
       "139666   AYPIF2S8P3RZT                                           Vyshtia   \n",
       "117903   ADPMGLFFGSAAQ                                               NaN   \n",
       "\n",
       "                                                summary_x  unixReviewTime_x  \\\n",
       "360187                                         Bronze owl        1385942400   \n",
       "360211                               what a cute lil owl!        1401408000   \n",
       "360222                                              Ehhh.        1404864000   \n",
       "360221                                         Four Stars        1405123200   \n",
       "360220                                  Great for the $$$        1385683200   \n",
       "360219                                               cute        1392076800   \n",
       "360218                                            It's ok        1357776000   \n",
       "360217                               Absolutely gorgeous!        1362096000   \n",
       "360216                      Way too big and unattractive.        1353974400   \n",
       "360215                               Nice preatty chain..        1373760000   \n",
       "360214                                            Alright        1359936000   \n",
       "360213                                         WHO WHO!!!        1386806400   \n",
       "360212                                          good gift        1386806400   \n",
       "360210                                          Nice item        1355702400   \n",
       "359860            It was beautiful but the chain broke :(        1380758400   \n",
       "360209                                               Cute        1382659200   \n",
       "360208                               Adorable owl pendant        1379721600   \n",
       "360207                                          Very cute        1373068800   \n",
       "360206                                             Great!        1374451200   \n",
       "360205                              Awesome to Deal with.        1368403200   \n",
       "360204                                           too cute        1391644800   \n",
       "360203                                     Cheap and Chic        1381536000   \n",
       "360202                                  NOT FINE JEWELRY!        1356480000   \n",
       "360201                                Simply beautiful :)        1378512000   \n",
       "360200                                    Amazing looking        1389225600   \n",
       "360199                                        my favorite        1388966400   \n",
       "360223                                          I love it        1394323200   \n",
       "359861                            Cheap but totally cute.        1380240000   \n",
       "359971                                         Five Stars        1404691200   \n",
       "359875                       Whoo doesn't like a bargain?        1376092800   \n",
       "...                                                   ...               ...   \n",
       "139644                                                Fun        1393977600   \n",
       "139645                                  Fun and Effective        1361318400   \n",
       "168867                             confusing instructions        1359849600   \n",
       "139653                                    They work well!        1364428800   \n",
       "139658        Good Price for Count and Strips work great!        1356048000   \n",
       "139668                              Didn't worked for me.        1378166400   \n",
       "67171                              Soft and Good Smelling        1362096000   \n",
       "117911                        A little goes a lonnnng way        1389744000   \n",
       "139659                                   Biore works well        1361145600   \n",
       "117909                           A little goes a long way        1361923200   \n",
       "117908    Trust me-it's not Pure Argan Oil !!! Beware !!!        1360800000   \n",
       "117907                          Morocco's Magnificent Oil        1362873600   \n",
       "117906                                       very good!!!        1397865600   \n",
       "117905                              Did not work for me..        1398729600   \n",
       "67170                     Nice subtle smell.  Shiny hair.        1361923200   \n",
       "168924                         Works well for us guys too        1367798400   \n",
       "67169               Great idea for grade school children!        1361404800   \n",
       "67168                       Helps manages children's hair        1363910400   \n",
       "168888                                          Mixed bag        1361059200   \n",
       "117910                 Effective, long lasting, unscented        1363392000   \n",
       "139667        The way to clean, healthy skin starts here!        1386460800   \n",
       "139665                                        works great        1394236800   \n",
       "117904                                      Great Product        1396483200   \n",
       "139660  Effective yet not protective, pores arent smal...        1388620800   \n",
       "139661                             Have always been a fan        1374105600   \n",
       "139663                              didn't get whiteheads        1398124800   \n",
       "139664                 Easy to use, effective, feels good        1360108800   \n",
       "139662                                        Love it !!!        1360627200   \n",
       "139666                             Exfoliate before using        1363824000   \n",
       "117903                               Great a Moisturizer!        1400457600   \n",
       "\n",
       "        HelpfulnessNumerator_x  HelpfulnessDenominator_x  \\\n",
       "360187                       0                         0   \n",
       "360211                       0                         0   \n",
       "360222                       0                         0   \n",
       "360221                       0                         0   \n",
       "360220                       1                         1   \n",
       "360219                       0                         0   \n",
       "360218                       0                         0   \n",
       "360217                       0                         0   \n",
       "360216                       0                         0   \n",
       "360215                       0                         0   \n",
       "360214                       0                         0   \n",
       "360213                       0                         0   \n",
       "360212                       0                         0   \n",
       "360210                       1                         1   \n",
       "359860                       1                         2   \n",
       "360209                       0                         0   \n",
       "360208                       2                         3   \n",
       "360207                       0                         0   \n",
       "360206                       1                         1   \n",
       "360205                       0                         0   \n",
       "360204                       0                         0   \n",
       "360203                       0                         0   \n",
       "360202                       0                         0   \n",
       "360201                       0                         0   \n",
       "360200                       0                         0   \n",
       "360199                       0                         0   \n",
       "360223                       0                         0   \n",
       "359861                       0                         0   \n",
       "359971                       0                         0   \n",
       "359875                       1                         2   \n",
       "...                        ...                       ...   \n",
       "139644                       0                         0   \n",
       "139645                       1                         1   \n",
       "168867                       2                         4   \n",
       "139653                       1                         2   \n",
       "139658                      44                        57   \n",
       "139668                       1                         1   \n",
       "67171                        0                         0   \n",
       "117911                       3                         5   \n",
       "139659                       1                         1   \n",
       "117909                       0                         0   \n",
       "117908                      15                        56   \n",
       "117907                       3                         9   \n",
       "117906                       0                         0   \n",
       "117905                       2                         8   \n",
       "67170                        0                         0   \n",
       "168924                       0                         0   \n",
       "67169                        1                         2   \n",
       "67168                        0                         0   \n",
       "168888                       0                         0   \n",
       "117910                       0                         0   \n",
       "139667                       3                         3   \n",
       "139665                       0                         0   \n",
       "117904                       0                         1   \n",
       "139660                       1                         2   \n",
       "139661                       0                         0   \n",
       "139663                       0                         0   \n",
       "139664                       2                         4   \n",
       "139662                       1                         2   \n",
       "139666                       1                         2   \n",
       "117903                       0                         0   \n",
       "\n",
       "                              ...                          reviewTime_y  \\\n",
       "360187                        ...                                   441   \n",
       "360211                        ...                                   441   \n",
       "360222                        ...                                   441   \n",
       "360221                        ...                                   441   \n",
       "360220                        ...                                   441   \n",
       "360219                        ...                                   441   \n",
       "360218                        ...                                   441   \n",
       "360217                        ...                                   441   \n",
       "360216                        ...                                   441   \n",
       "360215                        ...                                   441   \n",
       "360214                        ...                                   441   \n",
       "360213                        ...                                   441   \n",
       "360212                        ...                                   441   \n",
       "360210                        ...                                   441   \n",
       "359860                        ...                                   441   \n",
       "360209                        ...                                   441   \n",
       "360208                        ...                                   441   \n",
       "360207                        ...                                   441   \n",
       "360206                        ...                                   441   \n",
       "360205                        ...                                   441   \n",
       "360204                        ...                                   441   \n",
       "360203                        ...                                   441   \n",
       "360202                        ...                                   441   \n",
       "360201                        ...                                   441   \n",
       "360200                        ...                                   441   \n",
       "360199                        ...                                   441   \n",
       "360223                        ...                                   441   \n",
       "359861                        ...                                   441   \n",
       "359971                        ...                                   441   \n",
       "359875                        ...                                   441   \n",
       "...                           ...                                   ...   \n",
       "139644                        ...                                   100   \n",
       "139645                        ...                                   100   \n",
       "168867                        ...                                   100   \n",
       "139653                        ...                                   100   \n",
       "139658                        ...                                   100   \n",
       "139668                        ...                                   100   \n",
       "67171                         ...                                   100   \n",
       "117911                        ...                                   100   \n",
       "139659                        ...                                   100   \n",
       "117909                        ...                                   100   \n",
       "117908                        ...                                   100   \n",
       "117907                        ...                                   100   \n",
       "117906                        ...                                   100   \n",
       "117905                        ...                                   100   \n",
       "67170                         ...                                   100   \n",
       "168924                        ...                                   100   \n",
       "67169                         ...                                   100   \n",
       "67168                         ...                                   100   \n",
       "168888                        ...                                   100   \n",
       "117910                        ...                                   100   \n",
       "139667                        ...                                   100   \n",
       "139665                        ...                                   100   \n",
       "117904                        ...                                   100   \n",
       "139660                        ...                                   100   \n",
       "139661                        ...                                   100   \n",
       "139663                        ...                                   100   \n",
       "139664                        ...                                   100   \n",
       "139662                        ...                                   100   \n",
       "139666                        ...                                   100   \n",
       "117903                        ...                                   100   \n",
       "\n",
       "        reviewerID_y  reviewerName_y  summary_y  unixReviewTime_y  \\\n",
       "360187           441             441        441               441   \n",
       "360211           441             441        441               441   \n",
       "360222           441             441        441               441   \n",
       "360221           441             441        441               441   \n",
       "360220           441             441        441               441   \n",
       "360219           441             441        441               441   \n",
       "360218           441             441        441               441   \n",
       "360217           441             441        441               441   \n",
       "360216           441             441        441               441   \n",
       "360215           441             441        441               441   \n",
       "360214           441             441        441               441   \n",
       "360213           441             441        441               441   \n",
       "360212           441             441        441               441   \n",
       "360210           441             441        441               441   \n",
       "359860           441             441        441               441   \n",
       "360209           441             441        441               441   \n",
       "360208           441             441        441               441   \n",
       "360207           441             441        441               441   \n",
       "360206           441             441        441               441   \n",
       "360205           441             441        441               441   \n",
       "360204           441             441        441               441   \n",
       "360203           441             441        441               441   \n",
       "360202           441             441        441               441   \n",
       "360201           441             441        441               441   \n",
       "360200           441             441        441               441   \n",
       "360199           441             441        441               441   \n",
       "360223           441             441        441               441   \n",
       "359861           441             441        441               441   \n",
       "359971           441             441        441               441   \n",
       "359875           441             441        441               441   \n",
       "...              ...             ...        ...               ...   \n",
       "139644           100             100        100               100   \n",
       "139645           100             100        100               100   \n",
       "168867           100             100        100               100   \n",
       "139653           100             100        100               100   \n",
       "139658           100             100        100               100   \n",
       "139668           100             100        100               100   \n",
       "67171            100             100        100               100   \n",
       "117911           100              97        100               100   \n",
       "139659           100             100        100               100   \n",
       "117909           100              97        100               100   \n",
       "117908           100              97        100               100   \n",
       "117907           100              97        100               100   \n",
       "117906           100              97        100               100   \n",
       "117905           100              97        100               100   \n",
       "67170            100             100        100               100   \n",
       "168924           100             100        100               100   \n",
       "67169            100             100        100               100   \n",
       "67168            100             100        100               100   \n",
       "168888           100             100        100               100   \n",
       "117910           100              97        100               100   \n",
       "139667           100             100        100               100   \n",
       "139665           100             100        100               100   \n",
       "117904           100              97        100               100   \n",
       "139660           100             100        100               100   \n",
       "139661           100             100        100               100   \n",
       "139663           100             100        100               100   \n",
       "139664           100             100        100               100   \n",
       "139662           100             100        100               100   \n",
       "139666           100             100        100               100   \n",
       "117903           100              97        100               100   \n",
       "\n",
       "        HelpfulnessNumerator_y  HelpfulnessDenominator_y  totalReviewers  \\\n",
       "360187                     441                       441             441   \n",
       "360211                     441                       441             441   \n",
       "360222                     441                       441             441   \n",
       "360221                     441                       441             441   \n",
       "360220                     441                       441             441   \n",
       "360219                     441                       441             441   \n",
       "360218                     441                       441             441   \n",
       "360217                     441                       441             441   \n",
       "360216                     441                       441             441   \n",
       "360215                     441                       441             441   \n",
       "360214                     441                       441             441   \n",
       "360213                     441                       441             441   \n",
       "360212                     441                       441             441   \n",
       "360210                     441                       441             441   \n",
       "359860                     441                       441             441   \n",
       "360209                     441                       441             441   \n",
       "360208                     441                       441             441   \n",
       "360207                     441                       441             441   \n",
       "360206                     441                       441             441   \n",
       "360205                     441                       441             441   \n",
       "360204                     441                       441             441   \n",
       "360203                     441                       441             441   \n",
       "360202                     441                       441             441   \n",
       "360201                     441                       441             441   \n",
       "360200                     441                       441             441   \n",
       "360199                     441                       441             441   \n",
       "360223                     441                       441             441   \n",
       "359861                     441                       441             441   \n",
       "359971                     441                       441             441   \n",
       "359875                     441                       441             441   \n",
       "...                        ...                       ...             ...   \n",
       "139644                     100                       100             100   \n",
       "139645                     100                       100             100   \n",
       "168867                     100                       100             100   \n",
       "139653                     100                       100             100   \n",
       "139658                     100                       100             100   \n",
       "139668                     100                       100             100   \n",
       "67171                      100                       100             100   \n",
       "117911                     100                       100             100   \n",
       "139659                     100                       100             100   \n",
       "117909                     100                       100             100   \n",
       "117908                     100                       100             100   \n",
       "117907                     100                       100             100   \n",
       "117906                     100                       100             100   \n",
       "117905                     100                       100             100   \n",
       "67170                      100                       100             100   \n",
       "168924                     100                       100             100   \n",
       "67169                      100                       100             100   \n",
       "67168                      100                       100             100   \n",
       "168888                     100                       100             100   \n",
       "117910                     100                       100             100   \n",
       "139667                     100                       100             100   \n",
       "139665                     100                       100             100   \n",
       "117904                     100                       100             100   \n",
       "139660                     100                       100             100   \n",
       "139661                     100                       100             100   \n",
       "139663                     100                       100             100   \n",
       "139664                     100                       100             100   \n",
       "139662                     100                       100             100   \n",
       "139666                     100                       100             100   \n",
       "117903                     100                       100             100   \n",
       "\n",
       "        overallScore                                      summaryReview  \n",
       "360187             5                                         Bronze owl  \n",
       "360211             5                               what a cute lil owl!  \n",
       "360222             3                                              Ehhh.  \n",
       "360221             4                                         Four Stars  \n",
       "360220             4                                  Great for the $$$  \n",
       "360219             5                                               cute  \n",
       "360218             4                                            It's ok  \n",
       "360217             5                               Absolutely gorgeous!  \n",
       "360216             2                      Way too big and unattractive.  \n",
       "360215             4                               Nice preatty chain..  \n",
       "360214             3                                            Alright  \n",
       "360213             5                                         WHO WHO!!!  \n",
       "360212             5                                          good gift  \n",
       "360210             4                                          Nice item  \n",
       "359860             3            It was beautiful but the chain broke :(  \n",
       "360209             4                                               Cute  \n",
       "360208             5                               Adorable owl pendant  \n",
       "360207             4                                          Very cute  \n",
       "360206             5                                             Great!  \n",
       "360205             5                              Awesome to Deal with.  \n",
       "360204             5                                           too cute  \n",
       "360203             5                                     Cheap and Chic  \n",
       "360202             4                                  NOT FINE JEWELRY!  \n",
       "360201             5                                Simply beautiful :)  \n",
       "360200             5                                    Amazing looking  \n",
       "360199             5                                        my favorite  \n",
       "360223             4                                          I love it  \n",
       "359861             5                            Cheap but totally cute.  \n",
       "359971             5                                         Five Stars  \n",
       "359875             5                       Whoo doesn't like a bargain?  \n",
       "...              ...                                                ...  \n",
       "139644             4                                                Fun  \n",
       "139645             5                                  Fun and Effective  \n",
       "168867             2                             confusing instructions  \n",
       "139653             5                                    They work well!  \n",
       "139658             5        Good Price for Count and Strips work great!  \n",
       "139668             3                              Didn't worked for me.  \n",
       "67171              5                             Soft and Good Smelling  \n",
       "117911             4                        A little goes a lonnnng way  \n",
       "139659             5                                   Biore works well  \n",
       "117909             5                           A little goes a long way  \n",
       "117908             1    Trust me-it's not Pure Argan Oil !!! Beware !!!  \n",
       "117907             5                          Morocco's Magnificent Oil  \n",
       "117906             5                                       very good!!!  \n",
       "117905             1                              Did not work for me..  \n",
       "67170              5                    Nice subtle smell.  Shiny hair.  \n",
       "168924             4                         Works well for us guys too  \n",
       "67169              5              Great idea for grade school children!  \n",
       "67168              4                      Helps manages children's hair  \n",
       "168888             3                                          Mixed bag  \n",
       "117910             5                 Effective, long lasting, unscented  \n",
       "139667             5        The way to clean, healthy skin starts here!  \n",
       "139665             5                                        works great  \n",
       "117904             5                                      Great Product  \n",
       "139660             4  Effective yet not protective, pores arent smal...  \n",
       "139661             4                             Have always been a fan  \n",
       "139663             2                              didn't get whiteheads  \n",
       "139664             4                 Easy to use, effective, feels good  \n",
       "139662             5                                        Love it !!!  \n",
       "139666             4                             Exfoliate before using  \n",
       "117903             5                               Great a Moisturizer!  \n",
       "\n",
       "[39731 rows x 22 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfMerged = dfMerged.sort_values(by='totalReviewers', ascending=False)\n",
    "dfCount = dfMerged[dfMerged.totalReviewers >= 100]\n",
    "dfCount"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grouping all the summary Reviews by product ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dfProductReview = df.groupby(\"asin\", as_index=False).mean()\n",
    "ProductReviewSummary = dfCount.groupby(\"asin\")[\"summaryReview\"].apply(list)\n",
    "ProductReviewSummary = pd.DataFrame(ProductReviewSummary)\n",
    "ProductReviewSummary.to_csv(\"ProductReviewSummary.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
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       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>overall</th>\n",
       "      <th>unixReviewTime</th>\n",
       "      <th>HelpfulnessNumerator</th>\n",
       "      <th>HelpfulnessDenominator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0000031887</td>\n",
       "      <td>4.608696</td>\n",
       "      <td>1.370064e+09</td>\n",
       "      <td>0.391304</td>\n",
       "      <td>0.478261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0123456479</td>\n",
       "      <td>4.166667</td>\n",
       "      <td>1.382947e+09</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1608299953</td>\n",
       "      <td>4.307692</td>\n",
       "      <td>1.307637e+09</td>\n",
       "      <td>27.769231</td>\n",
       "      <td>30.230769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1617160377</td>\n",
       "      <td>4.625000</td>\n",
       "      <td>1.321078e+09</td>\n",
       "      <td>4.625000</td>\n",
       "      <td>5.062500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7806397051</td>\n",
       "      <td>2.625000</td>\n",
       "      <td>1.382087e+09</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9759091062</td>\n",
       "      <td>3.090909</td>\n",
       "      <td>1.390930e+09</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>9788072216</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.342552e+09</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>5.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>9790790961</td>\n",
       "      <td>4.333333</td>\n",
       "      <td>1.378858e+09</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9790794231</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>1.298212e+09</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>4.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>B00001W0KA</td>\n",
       "      <td>4.625000</td>\n",
       "      <td>1.349492e+09</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>B00001WRHJ</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>1.353586e+09</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>B00004SR8W</td>\n",
       "      <td>4.666667</td>\n",
       "      <td>1.346782e+09</td>\n",
       "      <td>2.583333</td>\n",
       "      <td>2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>B00004SR8Z</td>\n",
       "      <td>4.545455</td>\n",
       "      <td>1.363828e+09</td>\n",
       "      <td>1.545455</td>\n",
       "      <td>1.818182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>B00004SR9P</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.340091e+09</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>B00004TMFE</td>\n",
       "      <td>3.318182</td>\n",
       "      <td>1.360714e+09</td>\n",
       "      <td>1.090909</td>\n",
       "      <td>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>B00004TUBL</td>\n",
       "      <td>4.347826</td>\n",
       "      <td>1.348952e+09</td>\n",
       "      <td>1.739130</td>\n",
       "      <td>2.130435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>B00004TUBV</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>1.367505e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>B00004U1J2</td>\n",
       "      <td>3.923077</td>\n",
       "      <td>1.370537e+09</td>\n",
       "      <td>0.384615</td>\n",
       "      <td>0.615385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>B00004U9UY</td>\n",
       "      <td>4.538462</td>\n",
       "      <td>1.358500e+09</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>0.230769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>B00004U9V2</td>\n",
       "      <td>4.714286</td>\n",
       "      <td>1.385202e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>B000050B6U</td>\n",
       "      <td>4.313725</td>\n",
       "      <td>1.364569e+09</td>\n",
       "      <td>2.019608</td>\n",
       "      <td>2.235294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>B000051SEN</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>1.302880e+09</td>\n",
       "      <td>2.750000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>B000051SEP</td>\n",
       "      <td>4.333333</td>\n",
       "      <td>1.249819e+09</td>\n",
       "      <td>3.666667</td>\n",
       "      <td>4.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>B000052WY7</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.377924e+09</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>B000052WYD</td>\n",
       "      <td>3.680000</td>\n",
       "      <td>1.369642e+09</td>\n",
       "      <td>1.480000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>B000052WYL</td>\n",
       "      <td>4.086957</td>\n",
       "      <td>1.376499e+09</td>\n",
       "      <td>0.869565</td>\n",
       "      <td>1.086957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>B000052WYN</td>\n",
       "      <td>3.838710</td>\n",
       "      <td>1.373403e+09</td>\n",
       "      <td>0.612903</td>\n",
       "      <td>0.709677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>B000052X9G</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.349274e+09</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>4.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>B000052XIA</td>\n",
       "      <td>4.857143</td>\n",
       "      <td>1.313724e+09</td>\n",
       "      <td>1.714286</td>\n",
       "      <td>4.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>B000052XW5</td>\n",
       "      <td>4.333333</td>\n",
       "      <td>1.352333e+09</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35093</th>\n",
       "      <td>B00KLA4INE</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.404283e+09</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.545455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35094</th>\n",
       "      <td>B00KLJDYL2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.403712e+09</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35095</th>\n",
       "      <td>B00KLZO2JE</td>\n",
       "      <td>4.941176</td>\n",
       "      <td>1.404305e+09</td>\n",
       "      <td>0.352941</td>\n",
       "      <td>0.823529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35096</th>\n",
       "      <td>B00KNIL36E</td>\n",
       "      <td>4.962963</td>\n",
       "      <td>1.405350e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35097</th>\n",
       "      <td>B00KNJOLSA</td>\n",
       "      <td>4.909091</td>\n",
       "      <td>1.404621e+09</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.181818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35098</th>\n",
       "      <td>B00KPKIV8I</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>1.404593e+09</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35099</th>\n",
       "      <td>B00KQ4PEBU</td>\n",
       "      <td>4.642857</td>\n",
       "      <td>1.405024e+09</td>\n",
       "      <td>0.464286</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35100</th>\n",
       "      <td>B00KQBR9FM</td>\n",
       "      <td>4.745098</td>\n",
       "      <td>1.404754e+09</td>\n",
       "      <td>0.421569</td>\n",
       "      <td>0.598039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35101</th>\n",
       "      <td>B00KQVTX06</td>\n",
       "      <td>4.813953</td>\n",
       "      <td>1.405244e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35102</th>\n",
       "      <td>B00KTAJAIY</td>\n",
       "      <td>4.785714</td>\n",
       "      <td>1.404086e+09</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35103</th>\n",
       "      <td>B00KTLBDYM</td>\n",
       "      <td>4.086957</td>\n",
       "      <td>1.404815e+09</td>\n",
       "      <td>0.478261</td>\n",
       "      <td>0.478261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35104</th>\n",
       "      <td>B00KTLBEEQ</td>\n",
       "      <td>4.515152</td>\n",
       "      <td>1.404940e+09</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.696970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35105</th>\n",
       "      <td>B00KTP8Q1G</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.404475e+09</td>\n",
       "      <td>1.166667</td>\n",
       "      <td>3.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35106</th>\n",
       "      <td>B00KVE7R0Q</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.405901e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35107</th>\n",
       "      <td>B00KVO2JWC</td>\n",
       "      <td>4.857143</td>\n",
       "      <td>1.405370e+09</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35108</th>\n",
       "      <td>B00KWE08Q0</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>1.405192e+09</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35109</th>\n",
       "      <td>B00KXG8JF4</td>\n",
       "      <td>4.950000</td>\n",
       "      <td>1.405028e+09</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35110</th>\n",
       "      <td>B00L0C529Q</td>\n",
       "      <td>4.846154</td>\n",
       "      <td>1.403575e+09</td>\n",
       "      <td>1.076923</td>\n",
       "      <td>1.076923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35111</th>\n",
       "      <td>B00L2K53BS</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>1.404847e+09</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35112</th>\n",
       "      <td>B00L2KVF9W</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.405166e+09</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35113</th>\n",
       "      <td>B00L3K91OW</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.404886e+09</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.187500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35114</th>\n",
       "      <td>B00L3LB0IG</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.404585e+09</td>\n",
       "      <td>0.076923</td>\n",
       "      <td>0.076923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35115</th>\n",
       "      <td>B00L3LBUGI</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.404718e+09</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>0.187500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35116</th>\n",
       "      <td>B00L5BXG36</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.405555e+09</td>\n",
       "      <td>2.428571</td>\n",
       "      <td>2.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35117</th>\n",
       "      <td>B00L5JHZJO</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>1.401728e+09</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>8.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35118</th>\n",
       "      <td>B00L5KTZ0K</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.405014e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35119</th>\n",
       "      <td>B00L6Q3BH6</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>1.400734e+09</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35120</th>\n",
       "      <td>B00LCEROA2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.404643e+09</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35121</th>\n",
       "      <td>B00LG63DOM</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>1.405823e+09</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35122</th>\n",
       "      <td>B00LLPT4HI</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.405580e+09</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.428571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35123 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             asin   overall  unixReviewTime  HelpfulnessNumerator  \\\n",
       "0      0000031887  4.608696    1.370064e+09              0.391304   \n",
       "1      0123456479  4.166667    1.382947e+09              0.333333   \n",
       "2      1608299953  4.307692    1.307637e+09             27.769231   \n",
       "3      1617160377  4.625000    1.321078e+09              4.625000   \n",
       "4      7806397051  2.625000    1.382087e+09              1.000000   \n",
       "5      9759091062  3.090909    1.390930e+09              0.363636   \n",
       "6      9788072216  5.000000    1.342552e+09              5.400000   \n",
       "7      9790790961  4.333333    1.378858e+09              0.333333   \n",
       "8      9790794231  3.600000    1.298212e+09              0.600000   \n",
       "9      B00001W0KA  4.625000    1.349492e+09              0.250000   \n",
       "10     B00001WRHJ  3.500000    1.353586e+09              0.333333   \n",
       "11     B00004SR8W  4.666667    1.346782e+09              2.583333   \n",
       "12     B00004SR8Z  4.545455    1.363828e+09              1.545455   \n",
       "13     B00004SR9P  4.000000    1.340091e+09              4.000000   \n",
       "14     B00004TMFE  3.318182    1.360714e+09              1.090909   \n",
       "15     B00004TUBL  4.347826    1.348952e+09              1.739130   \n",
       "16     B00004TUBV  4.400000    1.367505e+09              0.000000   \n",
       "17     B00004U1J2  3.923077    1.370537e+09              0.384615   \n",
       "18     B00004U9UY  4.538462    1.358500e+09              0.230769   \n",
       "19     B00004U9V2  4.714286    1.385202e+09              0.000000   \n",
       "20     B000050B6U  4.313725    1.364569e+09              2.019608   \n",
       "21     B000051SEN  4.500000    1.302880e+09              2.750000   \n",
       "22     B000051SEP  4.333333    1.249819e+09              3.666667   \n",
       "23     B000052WY7  4.000000    1.377924e+09              0.400000   \n",
       "24     B000052WYD  3.680000    1.369642e+09              1.480000   \n",
       "25     B000052WYL  4.086957    1.376499e+09              0.869565   \n",
       "26     B000052WYN  3.838710    1.373403e+09              0.612903   \n",
       "27     B000052X9G  2.800000    1.349274e+09              1.200000   \n",
       "28     B000052XIA  4.857143    1.313724e+09              1.714286   \n",
       "29     B000052XW5  4.333333    1.352333e+09              0.583333   \n",
       "...           ...       ...             ...                   ...   \n",
       "35093  B00KLA4INE  5.000000    1.404283e+09              0.545455   \n",
       "35094  B00KLJDYL2  5.000000    1.403712e+09              0.500000   \n",
       "35095  B00KLZO2JE  4.941176    1.404305e+09              0.352941   \n",
       "35096  B00KNIL36E  4.962963    1.405350e+09              0.000000   \n",
       "35097  B00KNJOLSA  4.909091    1.404621e+09              0.181818   \n",
       "35098  B00KPKIV8I  4.600000    1.404593e+09              0.133333   \n",
       "35099  B00KQ4PEBU  4.642857    1.405024e+09              0.464286   \n",
       "35100  B00KQBR9FM  4.745098    1.404754e+09              0.421569   \n",
       "35101  B00KQVTX06  4.813953    1.405244e+09              0.000000   \n",
       "35102  B00KTAJAIY  4.785714    1.404086e+09              0.071429   \n",
       "35103  B00KTLBDYM  4.086957    1.404815e+09              0.478261   \n",
       "35104  B00KTLBEEQ  4.515152    1.404940e+09              0.666667   \n",
       "35105  B00KTP8Q1G  5.000000    1.404475e+09              1.166667   \n",
       "35106  B00KVE7R0Q  5.000000    1.405901e+09              0.000000   \n",
       "35107  B00KVO2JWC  4.857143    1.405370e+09              0.285714   \n",
       "35108  B00KWE08Q0  4.900000    1.405192e+09              0.900000   \n",
       "35109  B00KXG8JF4  4.950000    1.405028e+09              1.250000   \n",
       "35110  B00L0C529Q  4.846154    1.403575e+09              1.076923   \n",
       "35111  B00L2K53BS  4.800000    1.404847e+09              0.600000   \n",
       "35112  B00L2KVF9W  5.000000    1.405166e+09              0.333333   \n",
       "35113  B00L3K91OW  5.000000    1.404886e+09              0.125000   \n",
       "35114  B00L3LB0IG  5.000000    1.404585e+09              0.076923   \n",
       "35115  B00L3LBUGI  5.000000    1.404718e+09              0.187500   \n",
       "35116  B00L5BXG36  5.000000    1.405555e+09              2.428571   \n",
       "35117  B00L5JHZJO  3.400000    1.401728e+09              7.800000   \n",
       "35118  B00L5KTZ0K  5.000000    1.405014e+09              0.000000   \n",
       "35119  B00L6Q3BH6  4.400000    1.400734e+09              3.000000   \n",
       "35120  B00LCEROA2  5.000000    1.404643e+09              0.111111   \n",
       "35121  B00LG63DOM  4.800000    1.405823e+09              0.800000   \n",
       "35122  B00LLPT4HI  5.000000    1.405580e+09              0.285714   \n",
       "\n",
       "       HelpfulnessDenominator  \n",
       "0                    0.478261  \n",
       "1                    0.666667  \n",
       "2                   30.230769  \n",
       "3                    5.062500  \n",
       "4                    1.750000  \n",
       "5                    1.000000  \n",
       "6                    5.800000  \n",
       "7                    0.833333  \n",
       "8                    4.800000  \n",
       "9                    0.500000  \n",
       "10                   0.666667  \n",
       "11                   2.666667  \n",
       "12                   1.818182  \n",
       "13                   4.250000  \n",
       "14                   1.500000  \n",
       "15                   2.130435  \n",
       "16                   0.000000  \n",
       "17                   0.615385  \n",
       "18                   0.230769  \n",
       "19                   0.142857  \n",
       "20                   2.235294  \n",
       "21                   3.000000  \n",
       "22                   4.833333  \n",
       "23                   0.600000  \n",
       "24                   1.800000  \n",
       "25                   1.086957  \n",
       "26                   0.709677  \n",
       "27                   4.600000  \n",
       "28                   4.428571  \n",
       "29                   0.750000  \n",
       "...                       ...  \n",
       "35093                0.545455  \n",
       "35094                0.500000  \n",
       "35095                0.823529  \n",
       "35096                0.000000  \n",
       "35097                0.181818  \n",
       "35098                0.133333  \n",
       "35099                0.500000  \n",
       "35100                0.598039  \n",
       "35101                0.000000  \n",
       "35102                0.071429  \n",
       "35103                0.478261  \n",
       "35104                0.696970  \n",
       "35105                3.166667  \n",
       "35106                0.000000  \n",
       "35107                0.571429  \n",
       "35108                0.900000  \n",
       "35109                1.500000  \n",
       "35110                1.076923  \n",
       "35111                0.800000  \n",
       "35112                0.333333  \n",
       "35113                0.187500  \n",
       "35114                0.076923  \n",
       "35115                0.187500  \n",
       "35116                2.428571  \n",
       "35117                8.100000  \n",
       "35118                0.133333  \n",
       "35119                3.000000  \n",
       "35120                0.111111  \n",
       "35121                0.800000  \n",
       "35122                0.428571  \n",
       "\n",
       "[35123 rows x 5 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfProductReview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### create dataframe with certain columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df3 = pd.read_csv(\"ProductReviewSummary.csv\")\n",
    "df3 = pd.merge(df3, dfProductReview, on=\"asin\", how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df3 = df3[['asin','summaryReview','overall']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Text Cleaning - Summary column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#function for tokenizing summary\n",
    "regEx = re.compile('[^a-z]+')\n",
    "def cleanReviews(reviewText):\n",
    "    reviewText = reviewText.lower()\n",
    "    reviewText = regEx.sub(' ', reviewText).strip()\n",
    "    return reviewText"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#reset index and drop duplicate rows\n",
    "df3[\"summaryClean\"] = df3[\"summaryReview\"].apply(cleanReviews)\n",
    "df3 = df3.drop_duplicates(['overall'], keep='last')\n",
    "df3 = df3.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "reviews = df3[\"summaryClean\"] \n",
    "countVector = CountVectorizer(max_features = 300, stop_words='english') \n",
    "transformedReviews = countVector.fit_transform(reviews) \n",
    "\n",
    "dfReviews = DataFrame(transformedReviews.A, columns=countVector.get_feature_names())\n",
    "dfReviews = dfReviews.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#save \n",
    "dfReviews.to_csv(\"dfReviews.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# First let's create a dataset called X\n",
    "X = np.array(dfReviews)\n",
    " # create train and test\n",
    "tpercent = 0.9\n",
    "tsize = int(np.floor(tpercent * len(dfReviews)))\n",
    "dfReviews_train = X[:tsize]\n",
    "dfReviews_test = X[tsize:]\n",
    "#len of train and test\n",
    "lentrain = len(dfReviews_train)\n",
    "lentest = len(dfReviews_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "234\n",
      "27\n"
     ]
    }
   ],
   "source": [
    "# KNN classifier to find similar products\n",
    "print(lentrain)\n",
    "print(lentest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "neighbor = NearestNeighbors(n_neighbors=3, algorithm='ball_tree').fit(dfReviews_train)\n",
    "\n",
    "# Let's find the k-neighbors of each point in object X. To do that we call the kneighbors() function on object X.\n",
    "distances, indices = neighbor.kneighbors(dfReviews_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Based on product reviews, for ', 'B00AO4EMKQ', ' average rating is ', 4.2857142857142856)\n",
      "('The first similar product is ', 'B005TI7LHS', ' average rating is ', 4.1391304347826088)\n",
      "('The second similar product is ', 'B00AO4EL34', ' average rating is ', 4.1909090909090905)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AWLB9G6', ' average rating is ', 4.3962264150943398)\n",
      "('The first similar product is ', 'B00AO4E9MC', ' average rating is ', 4.339130434782609)\n",
      "('The second similar product is ', 'B00AE078YM', ' average rating is ', 3.7799999999999998)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AWLB9I4', ' average rating is ', 4.2079207920792081)\n",
      "('The first similar product is ', 'B00AE078YM', ' average rating is ', 3.7799999999999998)\n",
      "('The second similar product is ', 'B00AO4E9MC', ' average rating is ', 4.339130434782609)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00BNB3A0W', ' average rating is ', 3.4414414414414414)\n",
      "('The first similar product is ', 'B009T47YZ2', ' average rating is ', 3.4545454545454546)\n",
      "('The second similar product is ', 'B004Z1CZDK', ' average rating is ', 3.1923076923076925)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00C7DYBX0', ' average rating is ', 4.0980392156862742)\n",
      "('The first similar product is ', 'B0090UJFYI', ' average rating is ', 4.2454545454545451)\n",
      "('The second similar product is ', 'B004LUZ956', ' average rating is ', 4.024390243902439)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00C8YCFU4', ' average rating is ', 4.66412213740458)\n",
      "('The first similar product is ', 'B000F63TW0', ' average rating is ', 4.3384615384615381)\n",
      "('The second similar product is ', 'B0089JVDPK', ' average rating is ', 4.3931623931623935)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00CIBCJ62', ' average rating is ', 4.2164179104477615)\n",
      "('The first similar product is ', 'B004R1II48', ' average rating is ', 4.0555555555555554)\n",
      "('The second similar product is ', 'B005C5FP9Y', ' average rating is ', 4.1946902654867255)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00CKGB85I', ' average rating is ', 4.0666666666666664)\n",
      "('The first similar product is ', 'B004R1II48', ' average rating is ', 4.0555555555555554)\n",
      "('The second similar product is ', 'B0074T7TY0', ' average rating is ', 4.2554744525547443)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00CN47GXA', ' average rating is ', 3.4634146341463414)\n",
      "('The first similar product is ', 'B007WAU1VY', ' average rating is ', 3.5514705882352939)\n",
      "('The second similar product is ', 'B007WAEBPQ', ' average rating is ', 4.333333333333333)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00D1MR8YU', ' average rating is ', 3.8373983739837398)\n",
      "('The first similar product is ', 'B004R1II48', ' average rating is ', 4.0555555555555554)\n",
      "('The second similar product is ', 'B0007QCOTM', ' average rating is ', 4.6568627450980395)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00DMWQK0W', ' average rating is ', 4.2980769230769234)\n",
      "('The first similar product is ', 'B008RUOCJU', ' average rating is ', 3.9736842105263159)\n",
      "('The second similar product is ', 'B009T47YZ2', ' average rating is ', 3.4545454545454546)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00DMWQOYY', ' average rating is ', 4.119718309859155)\n",
      "('The first similar product is ', 'B008RUOCJU', ' average rating is ', 3.9736842105263159)\n",
      "('The second similar product is ', 'B0067GUM2W', ' average rating is ', 4.1748633879781423)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00DNQIIE8', ' average rating is ', 4.2287581699346406)\n",
      "('The first similar product is ', 'B0078FXHNM', ' average rating is ', 4.26056338028169)\n",
      "('The second similar product is ', 'B0067GUM2W', ' average rating is ', 4.1748633879781423)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00DQYNS3I', ' average rating is ', 4.5263157894736841)\n",
      "('The first similar product is ', 'B003YBHF82', ' average rating is ', 4.21)\n",
      "('The second similar product is ', 'B0008172S4', ' average rating is ', 4.2666666666666666)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00G5WO2VK', ' average rating is ', 4.7565217391304344)\n",
      "('The first similar product is ', 'B007Q0WW0S', ' average rating is ', 4.568965517241379)\n",
      "('The second similar product is ', 'B004Z209HS', ' average rating is ', 4.3899999999999997)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00GFBWWWC', ' average rating is ', 4.693548387096774)\n",
      "('The first similar product is ', 'B0000CC64W', ' average rating is ', 4.314685314685315)\n",
      "('The second similar product is ', 'B003MJ7Z0O', ' average rating is ', 4.0606060606060606)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00H93NJLS', ' average rating is ', 4.7928571428571427)\n",
      "('The first similar product is ', 'B004Z209HS', ' average rating is ', 4.3899999999999997)\n",
      "('The second similar product is ', 'B007Q0WW0S', ' average rating is ', 4.568965517241379)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00HJD8NLY', ' average rating is ', 4.8851351351351351)\n",
      "('The first similar product is ', 'B0000CC64W', ' average rating is ', 4.314685314685315)\n",
      "('The second similar product is ', 'B003MJ7Z0O', ' average rating is ', 4.0606060606060606)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00I6CRX04', ' average rating is ', 4.2214765100671139)\n",
      "('The first similar product is ', 'B00604MSSC', ' average rating is ', 4.1619047619047622)\n",
      "('The second similar product is ', 'B001V3TVEQ', ' average rating is ', 3.9166666666666665)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00IBS9QC6', ' average rating is ', 4.9153846153846157)\n",
      "('The first similar product is ', 'B000F63TW0', ' average rating is ', 4.3384615384615381)\n",
      "('The second similar product is ', 'B003MJ7Z0O', ' average rating is ', 4.0606060606060606)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00IP42FBA', ' average rating is ', 4.8717948717948714)\n",
      "('The first similar product is ', 'B004Z209HS', ' average rating is ', 4.3899999999999997)\n",
      "('The second similar product is ', 'B0013TM9UQ', ' average rating is ', 4.4710743801652892)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00JJVG6HC', ' average rating is ', 4.8092105263157894)\n",
      "('The first similar product is ', 'B007RTR89S', ' average rating is ', 3.8811881188118811)\n",
      "('The second similar product is ', 'B00AO4E9E0', ' average rating is ', 4.3883495145631066)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KAL5JAU', ' average rating is ', 4.7611940298507465)\n",
      "('The first similar product is ', 'B00AO4E9MC', ' average rating is ', 4.339130434782609)\n",
      "('The second similar product is ', 'B007RTR8T8', ' average rating is ', 4.1078431372549016)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KCFAZTE', ' average rating is ', 4.7592592592592595)\n",
      "('The first similar product is ', 'B00AO4EKSU', ' average rating is ', 4.0956521739130434)\n",
      "('The second similar product is ', 'B0007W1R58', ' average rating is ', 4.4272727272727277)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KHGIK54', ' average rating is ', 4.8320610687022905)\n",
      "('The first similar product is ', 'B0000CC64W', ' average rating is ', 4.314685314685315)\n",
      "('The second similar product is ', 'B003MJ7Z0O', ' average rating is ', 4.0606060606060606)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KHH2VOY', ' average rating is ', 4.8770491803278686)\n",
      "('The first similar product is ', 'B002TSA90M', ' average rating is ', 4.4521739130434783)\n",
      "('The second similar product is ', 'B00AE07IEM', ' average rating is ', 4.2752293577981648)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KQBR9FM', ' average rating is ', 4.7450980392156863)\n",
      "('The first similar product is ', 'B00AO4EKSU', ' average rating is ', 4.0956521739130434)\n",
      "('The second similar product is ', 'B0030HKJ8I', ' average rating is ', 4.3241379310344827)\n",
      "-----------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "#find most related products\n",
    "for i in range(lentest):\n",
    "    a = neighbor.kneighbors([dfReviews_test[i]])\n",
    "    related_product_list = a[1]\n",
    "\n",
    "    first_related_product = [item[0] for item in related_product_list]\n",
    "    first_related_product = str(first_related_product).strip('[]')\n",
    "    first_related_product = int(first_related_product)\n",
    "    second_related_product = [item[1] for item in related_product_list]\n",
    "    second_related_product = str(second_related_product).strip('[]')\n",
    "    second_related_product = int(second_related_product)\n",
    "    \n",
    "    print (\"Based on product reviews, for \", df3[\"asin\"][lentrain + i] ,\" average rating is \",df3[\"overall\"][lentrain + i])\n",
    "    print (\"The first similar product is \", df3[\"asin\"][first_related_product] ,\" average rating is \",df3[\"overall\"][first_related_product])\n",
    "    print (\"The second similar product is \", df3[\"asin\"][second_related_product] ,\" average rating is \",df3[\"overall\"][second_related_product])\n",
    "    print (\"-----------------------------------------------------------\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Based on product reviews, for ', 'B00KQBR9FM', ' average rating is ', 4.7450980392156863)\n",
      "('The first similar product is ', 'B00AO4EKSU', ' average rating is ', 4.0956521739130434)\n",
      "('The second similar product is ', 'B0030HKJ8I', ' average rating is ', 4.3241379310344827)\n",
      "-----------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "print (\"Based on product reviews, for \", df3[\"asin\"][260] ,\" average rating is \",df3[\"overall\"][260])\n",
    "print (\"The first similar product is \", df3[\"asin\"][first_related_product] ,\" average rating is \",df3[\"overall\"][first_related_product])\n",
    "print (\"The second similar product is \", df3[\"asin\"][second_related_product] ,\" average rating is \",df3[\"overall\"][second_related_product])\n",
    "print (\"-----------------------------------------------------------\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Predicting Review Score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          3       0.33      0.33      0.33         3\n",
      "          4       0.92      0.92      0.92        24\n",
      "\n",
      "avg / total       0.85      0.85      0.85        27\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df5_train_target = df3[\"overall\"][:lentrain]\n",
    "df5_test_target = df3[\"overall\"][lentrain:lentrain+lentest]\n",
    "df5_train_target = df5_train_target.astype(int)\n",
    "df5_test_target = df5_test_target.astype(int)\n",
    "\n",
    "n_neighbors = 3\n",
    "knnclf = neighbors.KNeighborsClassifier(n_neighbors, weights='distance')\n",
    "knnclf.fit(dfReviews_train, df5_train_target)\n",
    "knnpreds_test = knnclf.predict(dfReviews_test)\n",
    "\n",
    "print(classification_report(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Accuracy of the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.851851851852\n"
     ]
    }
   ],
   "source": [
    "print (accuracy_score(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.148148148148\n"
     ]
    }
   ],
   "source": [
    "print(mean_squared_error(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predicting Review Score with k = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          3       1.00      0.33      0.50         3\n",
      "          4       0.92      1.00      0.96        24\n",
      "\n",
      "avg / total       0.93      0.93      0.91        27\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df5_train_target = df3[\"overall\"][:lentrain]\n",
    "df5_test_target = df3[\"overall\"][lentrain:lentrain+lentest]\n",
    "df5_train_target = df5_train_target.astype(int)\n",
    "df5_test_target = df5_test_target.astype(int)\n",
    "\n",
    "n_neighbors = 5\n",
    "knnclf = neighbors.KNeighborsClassifier(n_neighbors, weights='distance')\n",
    "knnclf.fit(dfReviews_train, df5_train_target)\n",
    "knnpreds_test = knnclf.predict(dfReviews_test)\n",
    "#print (knnpreds_test)\n",
    "\n",
    "print(classification_report(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.925925925926\n"
     ]
    }
   ],
   "source": [
    "print (accuracy_score(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0740740740741\n"
     ]
    }
   ],
   "source": [
    "print(mean_squared_error(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Predicting reviews with 85, 15 train, test split and k = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# First let's create a dataset called X\n",
    "X = np.array(dfReviews)\n",
    " # create train and test\n",
    "tpercent = 0.85\n",
    "tsize = int(np.floor(tpercent * len(dfReviews)))\n",
    "dfReviews_train = X[:tsize]\n",
    "dfReviews_test = X[tsize:]\n",
    "#len of train and test\n",
    "lentrain = len(dfReviews_train)\n",
    "lentest = len(dfReviews_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Next we will instantiate a nearest neighbor object, and call it nbrs. Then we will fit it to dataset X.\n",
    "neighbor = NearestNeighbors(n_neighbors=3, algorithm='ball_tree').fit(dfReviews_train)\n",
    "\n",
    "# Let's find the k-neighbors of each point in object X. To do that we call the kneighbors() function on object X.\n",
    "distances, indices = neighbor.kneighbors(dfReviews_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Based on product reviews, for ', 'B00AE0790U', ' average rating is ', 4.1457286432160805)\n",
      "('The first similar product is ', 'B007RTR9DS', ' average rating is ', 2.9884393063583814)\n",
      "('The second similar product is ', 'B002WTC37A', ' average rating is ', 4.3097345132743365)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AE07BDU', ' average rating is ', 4.217821782178218)\n",
      "('The first similar product is ', 'B005XIDZHO', ' average rating is ', 3.4554455445544554)\n",
      "('The second similar product is ', 'B0056GDG90', ' average rating is ', 4.0175438596491224)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AE07FQI', ' average rating is ', 3.8316831683168315)\n",
      "('The first similar product is ', 'B005XIDZHO', ' average rating is ', 3.4554455445544554)\n",
      "('The second similar product is ', 'B001LF4I8I', ' average rating is ', 4.2407407407407405)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AE07H0M', ' average rating is ', 3.875)\n",
      "('The first similar product is ', 'B002WTC37A', ' average rating is ', 4.3097345132743365)\n",
      "('The second similar product is ', 'B004INUWX0', ' average rating is ', 3.6000000000000001)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AE07IEM', ' average rating is ', 4.2752293577981648)\n",
      "('The first similar product is ', 'B002TSA90M', ' average rating is ', 4.4521739130434783)\n",
      "('The second similar product is ', 'B0089JVDPK', ' average rating is ', 4.3931623931623935)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AHF1GK6', ' average rating is ', 4.1812865497076022)\n",
      "('The first similar product is ', 'B001V3TVEQ', ' average rating is ', 3.9166666666666665)\n",
      "('The second similar product is ', 'B0051U15E4', ' average rating is ', 4.4122807017543861)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AHF1GTM', ' average rating is ', 4.3366336633663369)\n",
      "('The first similar product is ', 'B001V3TVEQ', ' average rating is ', 3.9166666666666665)\n",
      "('The second similar product is ', 'B0090UJFYI', ' average rating is ', 4.2454545454545451)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AO379NE', ' average rating is ', 4.4018691588785046)\n",
      "('The first similar product is ', 'B004LUZ956', ' average rating is ', 4.024390243902439)\n",
      "('The second similar product is ', 'B005XIDZHO', ' average rating is ', 3.4554455445544554)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AO4E9E0', ' average rating is ', 4.3883495145631066)\n",
      "('The first similar product is ', 'B007RTR89S', ' average rating is ', 3.8811881188118811)\n",
      "('The second similar product is ', 'B00A0IWRRG', ' average rating is ', 4.1188118811881189)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AO4E9MC', ' average rating is ', 4.339130434782609)\n",
      "('The first similar product is ', 'B007RTR8T8', ' average rating is ', 4.1078431372549016)\n",
      "('The second similar product is ', 'B00AE078YM', ' average rating is ', 3.7799999999999998)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AO4EBOI', ' average rating is ', 4.115384615384615)\n",
      "('The first similar product is ', 'B00A0IWSIO', ' average rating is ', 4.1834862385321099)\n",
      "('The second similar product is ', 'B0056GDG90', ' average rating is ', 4.0175438596491224)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AO4EKSU', ' average rating is ', 4.0956521739130434)\n",
      "('The first similar product is ', 'B006RFZ66K', ' average rating is ', 4.1600000000000001)\n",
      "('The second similar product is ', 'B000PLUZL8', ' average rating is ', 4.1171171171171173)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AO4EL34', ' average rating is ', 4.1909090909090905)\n",
      "('The first similar product is ', 'B005TI7LD2', ' average rating is ', 3.8235294117647061)\n",
      "('The second similar product is ', 'B005TI7LHS', ' average rating is ', 4.1391304347826088)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AO4EMKQ', ' average rating is ', 4.2857142857142856)\n",
      "('The first similar product is ', 'B005TI7LHS', ' average rating is ', 4.1391304347826088)\n",
      "('The second similar product is ', 'B0089JVDPK', ' average rating is ', 4.3931623931623935)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AWLB9G6', ' average rating is ', 4.3962264150943398)\n",
      "('The first similar product is ', 'B00AE078YM', ' average rating is ', 3.7799999999999998)\n",
      "('The second similar product is ', 'B00A0IWSN4', ' average rating is ', 4.2920353982300883)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00AWLB9I4', ' average rating is ', 4.2079207920792081)\n",
      "('The first similar product is ', 'B00AE078YM', ' average rating is ', 3.7799999999999998)\n",
      "('The second similar product is ', 'B007RTR8T8', ' average rating is ', 4.1078431372549016)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00BNB3A0W', ' average rating is ', 3.4414414414414414)\n",
      "('The first similar product is ', 'B009T47YZ2', ' average rating is ', 3.4545454545454546)\n",
      "('The second similar product is ', 'B004Z1CZDK', ' average rating is ', 3.1923076923076925)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00C7DYBX0', ' average rating is ', 4.0980392156862742)\n",
      "('The first similar product is ', 'B0090UJFYI', ' average rating is ', 4.2454545454545451)\n",
      "('The second similar product is ', 'B004LUZ956', ' average rating is ', 4.024390243902439)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00C8YCFU4', ' average rating is ', 4.66412213740458)\n",
      "('The first similar product is ', 'B000F63TW0', ' average rating is ', 4.3384615384615381)\n",
      "('The second similar product is ', 'B0089JVDPK', ' average rating is ', 4.3931623931623935)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00CIBCJ62', ' average rating is ', 4.2164179104477615)\n",
      "('The first similar product is ', 'B004R1II48', ' average rating is ', 4.0555555555555554)\n",
      "('The second similar product is ', 'B005C5FP9Y', ' average rating is ', 4.1946902654867255)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00CKGB85I', ' average rating is ', 4.0666666666666664)\n",
      "('The first similar product is ', 'B004R1II48', ' average rating is ', 4.0555555555555554)\n",
      "('The second similar product is ', 'B0074T7TY0', ' average rating is ', 4.2554744525547443)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00CN47GXA', ' average rating is ', 3.4634146341463414)\n",
      "('The first similar product is ', 'B007WAU1VY', ' average rating is ', 3.5514705882352939)\n",
      "('The second similar product is ', 'B007WAEBPQ', ' average rating is ', 4.333333333333333)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00D1MR8YU', ' average rating is ', 3.8373983739837398)\n",
      "('The first similar product is ', 'B004R1II48', ' average rating is ', 4.0555555555555554)\n",
      "('The second similar product is ', 'B0007QCOTM', ' average rating is ', 4.6568627450980395)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00DMWQK0W', ' average rating is ', 4.2980769230769234)\n",
      "('The first similar product is ', 'B008RUOCJU', ' average rating is ', 3.9736842105263159)\n",
      "('The second similar product is ', 'B009T47YZ2', ' average rating is ', 3.4545454545454546)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00DMWQOYY', ' average rating is ', 4.119718309859155)\n",
      "('The first similar product is ', 'B008RUOCJU', ' average rating is ', 3.9736842105263159)\n",
      "('The second similar product is ', 'B0067GUM2W', ' average rating is ', 4.1748633879781423)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00DNQIIE8', ' average rating is ', 4.2287581699346406)\n",
      "('The first similar product is ', 'B0078FXHNM', ' average rating is ', 4.26056338028169)\n",
      "('The second similar product is ', 'B0067GUM2W', ' average rating is ', 4.1748633879781423)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00DQYNS3I', ' average rating is ', 4.5263157894736841)\n",
      "('The first similar product is ', 'B003YBHF82', ' average rating is ', 4.21)\n",
      "('The second similar product is ', 'B0008172S4', ' average rating is ', 4.2666666666666666)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00G5WO2VK', ' average rating is ', 4.7565217391304344)\n",
      "('The first similar product is ', 'B007Q0WW0S', ' average rating is ', 4.568965517241379)\n",
      "('The second similar product is ', 'B004Z209HS', ' average rating is ', 4.3899999999999997)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00GFBWWWC', ' average rating is ', 4.693548387096774)\n",
      "('The first similar product is ', 'B0000CC64W', ' average rating is ', 4.314685314685315)\n",
      "('The second similar product is ', 'B003MJ7Z0O', ' average rating is ', 4.0606060606060606)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00H93NJLS', ' average rating is ', 4.7928571428571427)\n",
      "('The first similar product is ', 'B004Z209HS', ' average rating is ', 4.3899999999999997)\n",
      "('The second similar product is ', 'B007Q0WW0S', ' average rating is ', 4.568965517241379)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00HJD8NLY', ' average rating is ', 4.8851351351351351)\n",
      "('The first similar product is ', 'B0000CC64W', ' average rating is ', 4.314685314685315)\n",
      "('The second similar product is ', 'B003MJ7Z0O', ' average rating is ', 4.0606060606060606)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00I6CRX04', ' average rating is ', 4.2214765100671139)\n",
      "('The first similar product is ', 'B00604MSSC', ' average rating is ', 4.1619047619047622)\n",
      "('The second similar product is ', 'B001V3TVEQ', ' average rating is ', 3.9166666666666665)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00IBS9QC6', ' average rating is ', 4.9153846153846157)\n",
      "('The first similar product is ', 'B000F63TW0', ' average rating is ', 4.3384615384615381)\n",
      "('The second similar product is ', 'B003MJ7Z0O', ' average rating is ', 4.0606060606060606)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00IP42FBA', ' average rating is ', 4.8717948717948714)\n",
      "('The first similar product is ', 'B004Z209HS', ' average rating is ', 4.3899999999999997)\n",
      "('The second similar product is ', 'B0013TM9UQ', ' average rating is ', 4.4710743801652892)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00JJVG6HC', ' average rating is ', 4.8092105263157894)\n",
      "('The first similar product is ', 'B007RTR89S', ' average rating is ', 3.8811881188118811)\n",
      "('The second similar product is ', 'B00A0IWRT4', ' average rating is ', 4.3113207547169807)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KAL5JAU', ' average rating is ', 4.7611940298507465)\n",
      "('The first similar product is ', 'B007RTR8T8', ' average rating is ', 4.1078431372549016)\n",
      "('The second similar product is ', 'B00AE078YM', ' average rating is ', 3.7799999999999998)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KCFAZTE', ' average rating is ', 4.7592592592592595)\n",
      "('The first similar product is ', 'B0007W1R58', ' average rating is ', 4.4272727272727277)\n",
      "('The second similar product is ', 'B009LOJ5MA', ' average rating is ', 3.4921875)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KHGIK54', ' average rating is ', 4.8320610687022905)\n",
      "('The first similar product is ', 'B0000CC64W', ' average rating is ', 4.314685314685315)\n",
      "('The second similar product is ', 'B003MJ7Z0O', ' average rating is ', 4.0606060606060606)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KHH2VOY', ' average rating is ', 4.8770491803278686)\n",
      "('The first similar product is ', 'B002TSA90M', ' average rating is ', 4.4521739130434783)\n",
      "('The second similar product is ', 'B000F63TW0', ' average rating is ', 4.3384615384615381)\n",
      "-----------------------------------------------------------\n",
      "('Based on product reviews, for ', 'B00KQBR9FM', ' average rating is ', 4.7450980392156863)\n",
      "('The first similar product is ', 'B0030HKJ8I', ' average rating is ', 4.3241379310344827)\n",
      "('The second similar product is ', 'B00644YNCM', ' average rating is ', 4.4019607843137258)\n",
      "-----------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "#find most related products\n",
    "for i in range(lentest):\n",
    "    a = neighbor.kneighbors([dfReviews_test[i]])\n",
    "    related_product_list = a[1]\n",
    "\n",
    "    first_related_product = [item[0] for item in related_product_list]\n",
    "    first_related_product = str(first_related_product).strip('[]')\n",
    "    first_related_product = int(first_related_product)\n",
    "    second_related_product = [item[1] for item in related_product_list]\n",
    "    second_related_product = str(second_related_product).strip('[]')\n",
    "    second_related_product = int(second_related_product)\n",
    "    \n",
    "    print (\"Based on product reviews, for \", df3[\"asin\"][lentrain + i] ,\" average rating is \",df3[\"overall\"][lentrain + i])\n",
    "    print (\"The first similar product is \", df3[\"asin\"][first_related_product] ,\" average rating is \",df3[\"overall\"][first_related_product])\n",
    "    print (\"The second similar product is \", df3[\"asin\"][second_related_product] ,\" average rating is \",df3[\"overall\"][second_related_product])\n",
    "    print (\"-----------------------------------------------------------\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          3       0.33      0.20      0.25         5\n",
      "          4       0.89      0.94      0.92        35\n",
      "\n",
      "avg / total       0.82      0.85      0.83        40\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df5_train_target = df3[\"overall\"][:lentrain]\n",
    "df5_test_target = df3[\"overall\"][lentrain:lentrain+lentest]\n",
    "df5_train_target = df5_train_target.astype(int)\n",
    "df5_test_target = df5_test_target.astype(int)\n",
    "\n",
    "n_neighbors = 5\n",
    "knnclf = neighbors.KNeighborsClassifier(n_neighbors, weights='distance')\n",
    "knnclf.fit(dfReviews_train, df5_train_target)\n",
    "knnpreds_test = knnclf.predict(dfReviews_test)\n",
    "#print (knnpreds_test)\n",
    "\n",
    "print(classification_report(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.85\n"
     ]
    }
   ],
   "source": [
    "print (accuracy_score(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.15\n"
     ]
    }
   ],
   "source": [
    "print(mean_squared_error(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### kNN with k = 3, Algorithm = Brute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "neighbor = NearestNeighbors(n_neighbors=3, algorithm='brute').fit(dfReviews_train)\n",
    "\n",
    "distances, indices = neighbor.kneighbors(dfReviews_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          2       0.00      0.00      0.00         0\n",
      "          3       0.33      0.20      0.25         5\n",
      "          4       0.89      0.91      0.90        35\n",
      "\n",
      "avg / total       0.82      0.82      0.82        40\n",
      "\n",
      "('Accuracy: ', 0.82499999999999996)\n",
      "('MSE: ', 0.25)\n"
     ]
    }
   ],
   "source": [
    "df5_train_target = df3[\"overall\"][:lentrain]\n",
    "df5_test_target = df3[\"overall\"][lentrain:lentrain+lentest]\n",
    "df5_train_target = df5_train_target.astype(int)\n",
    "df5_test_target = df5_test_target.astype(int)\n",
    "n_neighbors = 3\n",
    "knnclf = neighbors.KNeighborsClassifier(n_neighbors, weights='distance')\n",
    "knnclf.fit(dfReviews_train, df5_train_target)\n",
    "knnpreds_test = knnclf.predict(dfReviews_test)\n",
    "\n",
    "print(classification_report(df5_test_target, knnpreds_test))\n",
    "print (\"Accuracy: \",accuracy_score(df5_test_target, knnpreds_test))\n",
    "print(\"MSE: \",mean_squared_error(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### kNN with k= 5, and Algorithm = KD_Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "neighbor = NearestNeighbors(n_neighbors=5, algorithm='kd_tree').fit(dfReviews_train)\n",
    "distances, indices = neighbor.kneighbors(dfReviews_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          3       0.33      0.20      0.25         5\n",
      "          4       0.89      0.94      0.92        35\n",
      "\n",
      "avg / total       0.82      0.85      0.83        40\n",
      "\n",
      "('Accuracy: ', 0.84999999999999998)\n",
      "('MSE: ', 0.14999999999999999)\n"
     ]
    }
   ],
   "source": [
    "df5_train_target = df3[\"overall\"][:lentrain]\n",
    "df5_test_target = df3[\"overall\"][lentrain:lentrain+lentest]\n",
    "df5_train_target = df5_train_target.astype(int)\n",
    "df5_test_target = df5_test_target.astype(int)\n",
    "n_neighbors = 5\n",
    "knnclf = neighbors.KNeighborsClassifier(n_neighbors, weights='distance')\n",
    "knnclf.fit(dfReviews_train, df5_train_target)\n",
    "knnpreds_test = knnclf.predict(dfReviews_test)\n",
    "\n",
    "print(classification_report(df5_test_target, knnpreds_test))\n",
    "print (\"Accuracy: \",accuracy_score(df5_test_target, knnpreds_test))\n",
    "print(\"MSE: \",mean_squared_error(df5_test_target, knnpreds_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Word correltation based on cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cluster = df.groupby(\"overall\")[\"summary\"].apply(list)\n",
    "cluster = pd.DataFrame(cluster)\n",
    "cluster.to_csv(\"cluster.csv\")\n",
    "cluster1 = pd.read_csv(\"cluster.csv\")\n",
    "cluster1[\"summaryClean\"] = cluster1[\"summary\"].apply(cleanReviews)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### World Clouding for Each Score Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "stopwords = set(STOPWORDS)\n",
    "\n",
    "def show_wordcloud(data, title = None):\n",
    "    wordcloud = WordCloud(\n",
    "        background_color='white',\n",
    "        stopwords=stopwords,\n",
    "        max_words=500,\n",
    "        max_font_size=30, \n",
    "        scale=3,\n",
    "        random_state=1 # chosen at random by flipping a coin; it was heads\n",
    "    ).generate(str(data))\n",
    "    \n",
    "    fig = plt.figure(1, figsize=(8, 8))\n",
    "    plt.axis('off')\n",
    "    if title: \n",
    "        fig.suptitle(title, fontsize=20)\n",
    "        fig.subplots_adjust(top=2.3)\n",
    "\n",
    "    plt.imshow(wordcloud)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qk5qfh2rqGoyx7Qrww/nuQ9HYVDCpn95ANqNOUez79BohacnQ4Krg80jBjlifGrXR7/oJ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6l5voKw+KUfCAAHug3jtsWMW45hAf/SZGPGLeea5xfadqP1C8OxXjy3z4o29owyw8zI3zcFaRkM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LDT6fQzB0CvvIRRoN2tQW9b+y7xY8vvACbqrumLhtOLpL+R4ogtCwLv/Z+sH5J1mGc8rAtYPY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fff0790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wordcloud(cluster1[\"summaryClean\"][0], title = \"Review Score One\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mh9fDXEsXP/NzUVROOonudxgk9fFxvjOHi/srvNf8Z+Ez5JSIz6kubJ957Og5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\nemkumrWxwFCbFaS2lp0a087/a9pxfHodBWMLXZ4gB4CjT1bBr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fvEHV50VZTxahk/u2aF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\nAUcrc41Go9FoCjj/DzWidVlEOjsHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110a23d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wordcloud(cluster1[\"summaryClean\"][1] , title = \"Review Score Two\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4KngZYnJiaLKDLY9IbQ782t8DrMR/8f8/wQEw1O80AofPwuCbpxA0Yhbisklv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hebvhMA+i7Zh+iNU7FyXH+YzvJCP9NG2OY8WJKP+8uwNpmPsI9bMaLNcpx8tBoKP4N47LquxdG7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evQgKstx3s/+06s5qS8sXBFG5vn/KOW51216w9T5ZIfstKwISNiMsQ2DO/5EdgNOhHTjN6LlF\nKfAIZ96xijO3Z/MS4BkxCHIyCjDVsEdqQSgr6E5ac/3Kc/OwUkxfSby5/5HVNmWzPaZs5jYHdhnc\nDl0Gt5NqL3yExiXDfLEL2pjUxclZIyUP4ECTutw3iFUNfGVcR4WKuu5V7zqjn6/IS8oJK3HhtsD4\nuehn9AQPYkbgLyoH4ck/0c+Nirwu6TcfdugcgmMTuIZVCQj7voWvpwZNxNG2AsZKjeqDoV/TGQCg\no74UOupLAQCN9J5wzttQl00rDACqSl1RWBQLXQ3p/NiVhRaaw9G59myc+jYCLTS5ybaGGOz5zbsq\nHaqcMldRqIbIccuw/uVdnPgShIZnd0JLqTpejWArDjUFbtMpHxkF3IFqKgps3/rvRliGF1pqTYd5\nTconk1+Ujkvh1rgWOQKDjS4zZJXltGjlK00kvGcExWY1uoHgi3X7+1Qk533EmAZPICujUFEvgwH+\nqVsa33dZ8cFpAW3mfhX+A+aLXdBQTxuei7gZ4ERBUUG6j/7sY9fw+HPZaHerIjroUvUHrAx8yjS+\nmBBsffYIF4I/QEleHh31DeBq1Q+yMkz/vbGbwE8o6jQtLFMSJceUlOWa09htFw71H4SeRiaY63MT\nj6IisaxzV4xv3opzjbHXPPAmPhY5v9L4JO1XWiz2oFx7R8YNYfXFpkkXOf87MPfNTLi0dIO8jDze\np7/FoW8HsdV8BxLzE9BAVTKbmkfMRQSmBMCphesvZX8SRyMOYVjdEdCsJl2qcGbuPeio/1Pel0Jj\n1msqvXV/6zMSJJloom4DALDUXQQ1eR0UkyIcDKFcvTm8n7CpuwlnwkdDTkYB9sanxE31x1DllDkf\na9v1xtp2vZGQmwULj72YcO8STvUq3SlsWP1mOBfyltXuHfWlorZZZpio9aUVOQAoyqlDSU4TmYXf\nkc1LgIq8jpjRklFLyZxxbVPvKE6HdoBn5BAMN75ZrrlFQVJOuSQkRCVBx7CWRDm+L3un12O4P3pF\nn9T/GdQd47pWjPncZutxxKSkAwAGtzPD0kGWUFWiGNzz+wAAIABJREFUbgL/hM+8KuBJdCTGX7+C\nOmo1sLWnFUJSknHu43vU3+vMUoARcxehoKgIjfe7ipzv4Xh2EJpXyBfsCnzGapdmPgDY4f8E029d\nx4w27dFKVw9rH93HoddBeDZxGkPO2G0X9lj3x5nBw3Ez9Cvm+tyEWa3auGlXuptCLsSlZwIA2hnq\nM9qLiouRmpNb7vkrCo4NFyEuNxb1qhugjpI+8ovzsOrjcnSr1V0qZW5Zqxd84pnBxTKQAY9QPnAC\nAhkR2RaiIuHLiwF6w/AoiTsGRhy0FKlUS0MVwWGpZLT6WJNzIvtEgRBAhvstqHBUWWXOh44ylUMY\nnZkqQZKNLRZ9cS7kLezvnMf5PgIzr9PbxxjdsGW59+YbHQJrg0ZlGttBh50D311vG3xjpiMwYQt6\n1d1drr3lFXHzzVeTVeFsLyuu7fVB12EW0NITcGRfdfOBjKwMBs8W+CgHa0+h09Ce36JiGSz6Uyem\n4XoO8Igr/Wl+iW03OvDNfLELdlx/hLwCHqb1al/m18MHX5H/joj1fwum3rwGJXl5gWJs2BgLRUSV\nA0A1OfHBXobqGozrXF4hdgU+E3kyljQfAHxL/ckYb6yhCYdbTNeE1dmTAADbRlRQ3oCGjTHX5yaC\nkxJREXCfNAK2+9zRcpMbbWb3fBOMFdf80FSvNj7FMdcpKi7GtbefEZeega8JyXS746VbaFhbC3rq\nahjUwhRyshVLC1JftQH9XFtRG0fbnhQpy9UnPIb/d4qxoPaBKEUOVKwCF0Y/vSHop8e2iPwp/C5F\nDlRB0hij09sw6f5lnAt5iyvfPqDBmR0AgHN9ypaCoSArh4D4KCwLuI1zoW/R8hJ1Z7+lQ99y73X6\nI094RX7Gsc8vMevxNckDhCAnw3YRaClRQV2pBeUnNcgsZOZn+idsBAC01p5b7rmF8eCiP/yvBzHa\nhsztixsHmGU2ryUfg5/7YwCAUTN9GDUT3JlnpLDzbkuLxb+UuvujV+We698E74hmiM5kk5ZUBhZ3\n6II8Ho+lHCsKTQ/sQb8GZbs5FgVLQ2NWW3haKjSVmBXS1BXZmS1lRcPaWmihT0WZN1nrgiZrXbDi\nmh/m9ugIj+nsSnsZeflYed0Pex8G0iQwAOATHAK3BwFYcc0PGXl/jtviL8oH9xsvYDlxN457BlTq\nOlXuZB4wdBbmP/XC1teUGWNe8850ycqyIHQMRXhhc/M47saEYYhxM0bamzj0rUmdQHx+siPBI8ct\nw9oXd7DgqRfMtXQxsoHkVCxJkPvly+YVl88UN65hIE6HdmD51xXlNKCvUjFlXvnY/YQ7LePYBydW\nm9V4SuGWNKXzzfPSmNhFIepX5TsTHS0JkuVDWHxKpc7/J5FflIKU3ADUUWWXeQSAaa3booWOLkZ5\nXqR92Is7dsHstuWP/DZ22wVleQXss7GVLFwKKHCc5p372GC+LzOfOT1fPPugOHpUrr6L00QfPkrK\na1ZXLjX96v9LeVS+D7wkSvrEj0fsw4f0N8gvzuPslzRfyTFhWV/hHLJR4rrSYPzA9hg/sPzWQkmo\ncspcT6UGLlmPkSgnTVqZMG4PmFzqObmUuDDWt++D9e3LVp+2sDgLCrKqjLb4XIqQobZy+W8MAKCx\nxnC0r7VYsmAlQKaS7Evmi10gIwNYNq2Pdg30ERqXjOsvP6H4F1Xbqdlli24XhTbL9uDI9GGISkqD\ni/cTpGblwlBbg755EEZOfiGWnvVGaHwKfvxMp9sXuVMxCrVrqKK+rhYOOwxljFt27jbC4lMQFp+C\nomIBkY75YhdUV1RAAx0t6GiowXk8t5KVqaCv8bPYkWigMV2sTPu6+rQZe1fgMzgFPIVTwNNyBY0Z\nu+3CoEamcLXuV+Y5SoOBjZrg+NtXjKA6m/oNsb/fwN+y/u+GneFsXIjaBwCwVhoD37yzrOcHFrnD\n5+RDHP+4i3aZWSuNQe8xXfHS9x0uxRyArcZEOB6Yil721IEgPTkDk5stQssezbD6/Hx6vY/+X6Gs\nooQFPdah86B2WHpCdNpZcnYOtFXEMynuaXUS8jLiP+OTjanSxeKUNcBWxss/zEFOUTZ2tzzBaHcO\n2Yi9rdwhK5T6POv1WKz+uAAbm5UuZublxyi0a2aI5+8jYdHcqFRjS4MqZ2avSuhbcxp9Oq9ohGfc\nZrWFpFFEHsZq5XcBAPhjiryyQQjwIPgbdlx/hKsvgmlFXpH+7QNTKb9bAa8IE/ZdwppLfkjNysXS\nQZb4Z5Al55h8Hg8PP4UzFLkwEjOyEBASxWq/9foLvsYmMRQ5Hzn5hXgfHY8770NF7rWwOAPeEc3g\nHdEMqXlv6PZHMQPo9oKiVM52Pu5H90QeLwFff7rgfnRPkWsJY1GHzpxBbKXBxyQqTet3KXI+3iXE\nw2f0BETMXYSIuYv+s4ocAGwmWwIAinhFUKupioI8ZvS+tdIYPPJ4jnWXF2K0MTOvv5NtG8jIAIt6\nbsDgOX2xYxJF+vLmQTBG6s/EwoMOyErNhrWS4AC2d94JLOixDptvLMWDC/6wVhqDFV5+mHqOmZc9\n/8ot2J2QXKjnbkLlsMIREKQXprEUeVAqZQ6XLcFhYldvIlIKkkq9ztsvP9B9wm58jajklMSKLMFW\njkeVRHxUMnl8PajC53UPsSDuIRaEkGIR7dKMlbzG+5TjhFecX56tEkII6Xp3MeO6/6M15Z6zolBQ\nxPst+yn5HlQV3Ao3I68SFjCuCSEkKH4uefpjhMT21wkLGTJRGRdFrtXi0F7CK2Z+ZgecP02M9nDW\naSaEELF9831uie0XNZ+oMaL6RLVFpqWWau1/M/xvBJG1w5yIv9crsnrITvLq7nsyTM+BEEJIP9Vx\ntFxuVh5ZM5R6v6wURxNCCMnPLSCLe29ktFkpjibFRYLPgkPrf+jng7QmM9a2UhxNviYkce4rJjVd\n7L6Phe8lM1+NITNfjSH7w3aRwuJCsfJ8WUmIzA4nM1+NIWkFP1l9y9/PpefhelQw/pZA/R3QMdCC\njkHl+GCN1KxwOrQjq52LzIUrt1y4baSJDxTlmJHBqgp18TblEN6mHJJqjdLgZrf15RpfkVCQlSvV\nfrrdW4LHvXZW2n5ep35Fa03uyleOb1zh2sqRs8/6kSN8u7PTrnKK8rDr63msbiqaI7qmUhtWW1Lu\nM5ios8eUbE/MeShy3pJoo1cHDfY6s9ol5YSLyjm/HvKZU76kHFc/v61zPQOcGVw6AhxecTFkAFi6\nswv22Ddrji09yuY6q8o4vekKvr2LwjqPRVg3fBdSE9Mx24WqvtiwtQktp6SiyCJ+qqakgBraaqw5\nvwQJAnUdDwgsmG36sN2EjWprs9oAoK5GDc52PiYbz8Zk49ngER4WvJ2CeW8mAiib71oY27+shm2d\n4VBX0GT1kV/V2KablM/St/0YO0Vu6ZTK+2xVaWXebdBOPL6+hLNv5tKzCP4SK7JfWlz3eYtBfbnT\n1BKiqWCnylDoXXU3QEuxCV4lC1iF2tcu32sBqOC58996QFZGHlb6B6DwKxUtmxePkDRPxOYEIjzT\nByYSTPlbP13E69QwHG43n9He7R61x5IK0S3kBq798Ie9YQ9MNaFS0vKLC7H+41kE/QyBe4cl0FWi\nvjhWD1fgXMdlGOW/BWc6/AM95Zp0ex/d1vCJC2K0A8CUF66IyUnGzW7raUbAQ2HeOBv1gLUfy/tL\nYWfQDZ4x/rAz6I7JJlY48s0HDxPfi3wNs1/tQ1pBNva2mQXNaoJYhmFPN6FLLTOx75Uwlr8/wKmU\nAYhU5OJQXU5ylHVKbiCMajDjTHSqWyIx5xEaac4R216rOpPTnhC2qZ+PY7bSpfxI6z//XXLC7dkF\nBWh2yA27+thgaJOmDLkVD+7g/Mf3pVbmt99+hU3L0pUu/d349o7p3gkJCoflSOowwS9tDAC5WXlo\nYSnd513XUBuaOhqSBSsA8jLycGt1CumFqVj+oXwZObNfj4OxSgPY6A7m7G9aozkCUh6jhQb7Jrk0\nsLU0R9P6v487/0+b18Wa2bsO3CHWPiGpXxpcu/2m3HP0sVhf7jkqCpLM8O4hFuRsaDexc3h+f0Y+\npkUSQgiJz01lmZhLXve6v4xcjwlgzVMs5EYQHtP17mLyMz+Tfn7l+1NOGUnPRbUJXzu82C1WtmRb\nr/vLxK5bTIrJpOebSN9HC8iG4ON0/8Xou6Tfo4XE6uF8+iEMrraS/aIgvE5J3Ppfe2ceZ3PVP/D3\nx5gkyhaihEe2yFZq7OSxZ3m0UfyilJLC85SEyJI8CGWrZGtBKdoQGlkn2ZOkQvZ934aZ4fz+ON97\n565z72TGzH183q/XeX3v9/M553zP93u/937OOZ+z7ChnjpyPM3N3lDNzd5Qzx+PXu3XL9z7klscn\nHQoo9+TEhU0B5enBgl/+SHWasr1Hep2fjr+Q+jzGv/233QI7Dh0z9/QZY+oNft/E/bHLGGPM4Dmx\nptzLI93Bxeh5K0zFXqPNhp373LI270w3u4+eMJVffdsv7/SmYbbHzMeDvzDGGPN+r0/c3eXGGNMo\n++PmkdueNesXb/aSe34e2Ga0l+zXH383DbM9Zj4fPdfMGvmtaV+qm1/cQPmkBSl1dYfqCv/v1n6m\ny7p2YV3jdKK/CyDhUkJ4hQyfa6eb/diJc3R+6SOqVChK725NQsbvPWQOazfuokn98vTonDwFbdtf\nh+nW91OyRmWh2zP1ub9mGb+0nj0BngPffEe1nz1zgUeajKB12xg6PZ98jW++WEvzB+/xy9dcNjzY\naDhnz9hpEwtX9WPHtkN0f3oyX/9gF4+Z+t4PzJ2zjlnf2UFr3Z+ezLGjZ/lgZheyZctK6wbDvNJf\nCYVvSHkq0dg/vyG2nt0jvuD1oWve39d7k7ZxQxmx9Quv1q4gjPp9Dt8f3OCXxtX67VC8AeP+/JbW\nt3lPP+xQPHDr6Ini4U0rdNG0cHjrvrta66FovLRHwJb3I0Xq80iR+kG7yxfUGU2jpalvmYeiafHN\nXkdPat46y0+Wkjx3trsC5hOMoVO/p1eHwN/HrzsO8s2yzUH1R86co87Q91nayy4yUrHfOwx9uBFN\n7rIt3IWb/6Rh+ZK8+Mk3fL9lG7flsbvB3T1gLNXvuJ0xj7fgvkHjAdjyRvjdoe0rVOL99Ws4dO4s\nBXMk98D8fOggrT77JMX55s1HTGPzMO9r9Wl1PzPifvaTd2tSg25NalC+5yi37pc9BymSLzfrh/gv\nTe1J1SdHsmay/xbNV4Jr1DrA028+xtNvJs93/+78xwHjeX52jVZ3ye6MKcUHR8fx3tYfGXxPUx7q\n0Yw9Z0/a8xnevXme+aSWQKPTs2Xx/o6WH13M0iOLOBCfvBBNl/XtyHNdPvJE5+Wl0v0B2yI3mKD5\nenbdDyj3Fq9s8h+FXyHX3TxbInNOC8z0xrzngM+Z8e7TPPrM+5yPT+CG7Cmvq147piQ9OjfgwScn\neBnzJ7tPY9qYjlxMSOL0meR53K4pVL5d+ilNS2vdYBgLV/Vj3U/ei7vkLxjY//NwkxHMXtSTAb0+\no/9QO3UqMeGS25B/9lEcMTVL0aFzPd7sN5tXB7Zm9EQ7la59q7f56MtuzF6UuvWLDZcRn8kKSw7Y\nzRBq3NI/xbQ3Zs2eoj4QM6r34kD8cS+fdO3Yl+lR+l/MrTMwqLE8nnCG3NH+q9IdTzgTMP6JhCtf\nYCYQqfGjn0o8S67onKEjXsOU+8ctfLMseMXgwKkzLO31DI9OmEF0VBQ/D3yRd76Po4n3KsQ0q1ia\nphVK0/iuUtzZZxTr+nfls9Wb3PrUGHKAV2vUZvrmn4mZ7D+WBGDjM88HTVuq0M00+e8UxnVsyT8K\npLz2+NwNWxn2zdJUlS3SKJIzd4rngThx+DR5CqTsJ/ekXdFOrDq2nL/ObSPPdfmIyVubpoW8u8cP\nXtjH/vg9fmlPJBzjRELyuhAuQx4O+bMVZGTFicza+xGrj6+kcPYixOStRb0CjUInziAy/dS0SaOf\nIDo6itlTnuPx50Jv2dj4/vLkz5eTV19MbsW36TyRZV+9TPHbb6bMHbdwb+XkVaEKFcjFA+3Gpsr3\nXrWaXQbx7vtKuGXDB31FTM3Aq1d9Nv8lmtYcTKW7k69b+s7C7s8fTlzCkUOnWL54CzXr2h6DPj2m\nc2DfCQ4dDDzNKRjtS65CyMLHf1Z3LxzjCnvOLqXWLYPdfvRgfFKtJw+uGEzi5SSeWp3yWtgAbeKG\nsuX0bnJk9W/VVMpTgt9O+//Q2q8aTuLlJL7et4qPqyU/+zXH/3DLXVTJcwfLjmzm4uVEL/nf5cKl\nRE4lnnOfx+Qrw9g/v2H72QN8sGOBW573uhv58ehvbDyR7FNcUGc0iw6uptHS7rRYfuVjHDIDdTuP\nCSh/atAMAGI62Hm1bft8CMDgSXZ1v3krtwSMHw5Jl6xvXgSyZrEVauPxX7tmp21lrd+1n8Z3ef+u\nct9gK5tRWf7eWga/dH7BPSXNN6TE7B7tmf9KR4renJt/jfwwaLzq/SeQRYSl/VKesz97ia2UvPdl\nHADPDgvcYxIOJT990+u871o79bXEzCFe+ibzw9sKucTMIZSYOYQX49J2m8+ECwn8p8l/GfLkexw7\neJKB7cYxY0TwvSKq56vLv0u9xpjK0xhYbqSfIQcozMeMr+IdxlWe6v7swjeOb4hP2ueOu3JvI66P\nyk77os8wpvI0Xi0zOFMbcogAY+5JlhA/3hHjFzJnnu3STUhMcssvXQo+qOfbRZuIv5DAiPEL/XRr\nYzdzKck/7amT51k092ea10nef/vl11oy5LUvgpY7KekyM6et4NTJ8376L2NfYchrszl/LoGDB6zx\nrlClKD27fuQVb8bUFXw5a3XQe3HRrmQc7UuuChiK3Ri6mzpH1uv5omZforNkZdK93f1arb7nM6v3\n4s6bbuem6Bu8dMvqD6d4joKUvamIX5qPYl4mOktWltUfTvao5KVtq+Yt5Za7GF2lM7XzlydbluiA\nLeiUytfy1mp+uuujosnl0RswrNJTdC3ZnBI5C7kH7wF8Wasf1W4uS6U8//DK86Ei97OgzmjuyXtl\ne6pnFpa89wL935vPio220nLvEyP5fddhihS0AxZb1bXN5YolbQV0fpwdhd4wxlY8p3+3jtjVf7jj\nh0OvZnb74pnPtmVqJzsavVuD6m59nwfqAdC8Ylm2Hz5G87c/dLfCG5a3m4D8Mijt3RYpUb7nKNqO\nmcE9fcbyxiPJ78mwx5py/+CJtHzLGvg+rerx8vR5NBo6mQI3Be/ByZXTVn6NU4sxJvyWoy+Plkh5\nrwmX/u78twWNs+bIHsrP8v4t3XSdLeOk339i3p7f2HM28J4P4XJw11Ha/KcpvSd3ZminiURFRxHo\ntvefmc3S3bUA2HCoM6cv/krszgrE7bVbQcftfcCtP5+4G4BNh3uwYk9DAH7a77941IZDnflpv/f2\npp7XAVi9v41XnrE7K7Bst/9W25mRTN/NfujIaQrmv4lft+6n3UMpb/85P3YzsV9YX9Osr9e5R6n3\nfL4RI8Yv5KUuDf3SVKlwOwN6tqB2y+F++tPHzzH2pY/pNvr/vORjp3QCoEGzikCyD7v3oAcDlmtg\nr1nuOC3rDeWrH7xXmssaHcX8lX29ZI+2r8Gj7b39yG07pO1SrErqab9qAP8u3ZaLlxNZeXRTwDix\nh9YQnSUrtfP7b7154VIC10d5u4pS6v47mxRP4uWkoPq0wBgY0LkJDZ4fz6JxXYi5qxilixZg+YbA\newQ0rmaN+MJVW+n7VEMmfbWK2AnPM2RK6nerCkX267Lyx6GjlL/1ynYRTAt8/eIumlYqTVOP0ezN\nKpehWWX/MTnB0hcrlI+Hek/h8yEdmTrXVtZjOo1m1QfdadT9XUoXLcA7PVoHTBuMDUf3hY7kQ9X8\nRWhUJPCo/LG/rmRD639zOP7K3FwVayU/l+HfBu/ZSrh0jMq3WFfI6Ytb+PnwC1w2iVS/zS4gc5lE\nt95FhQKj3K3rmFtn++V5+uIWBO/lfT2vc+T8Yu4t7L2IzWWTSNXCf9/nf1VJy9F0VxACUqvFMHP0\n+FnTuuME88boeW75u9OWmlothnkFF62eGGdGvrvIL6+t2w6axm3eNs3bjzWLl291yz1Hs6fF6PhA\nzPokzjSsNtCMGPxVuuQfaQRbgCWzLsyiKMrVZc3+9iZubwtjjDEbD3Y1O09OMQt3lHHrl+yqYeL2\ntjCXzSWzcEcZs2a/HcG+eGdVY4wxP+5t5ZZ9/1cldz7LdtcNep3ziXvNXycnuvM8n7jbOe5Nz1tN\nMzsq5gq6dtKQTFEIX1LaaEVRFEVRrpA028QionzmiqIoiqL4oy1zRVEURckY0qxlnlkGwKXPfpmK\noiiKcg2g3eyKoiiKEuGoMVcURVGUCEeNuaIoiqJEOGrMFUVRFCXCUWOuKIqiKBGOGnNFURRFiXDU\nmCuKoihKhKPGXFEURVEiHDXmiqIoihLhqDFXFEVRlAhHjbmiKIqiRDhqzBVFURQlwlFjriiKoigR\njhpzRVEURYlw1JgriqIoSoSjxlxRFEVRIhw15oqiKIoS4agxVxRFUZQIR425oiiKokQ4aswVRVEU\nJcJRY64oiqIoEY4ac0VRFEWJcNSYK4qiKEqEo8ZcueYQESMiSzK6HEraICI7RWRnRpdDUTISNeZK\nuuEYTc9wSUSOi8gSEekgIpLRZcysiEhuERkoIhtF5KyIXBSRfSKySkTeEpHKGV3GtEREigV4X0KF\nuhldbkXJLGTN6AIo1wQDnGM0cAfwL6AOcA/QNQPKUxY4nwHXDQsRKQysBIoBO4BPgKNAHuBuoDsQ\nD2zIoCKmBydJfk886e8cA+l2pltpFCXCEGNMRpdB+R9FRAyAMUZ85DWAZYAAJYwxf2VA8TItIvIB\n8BQwGehkfH6kIlIIKGSMWZ8R5buaBHuHfOLsdOIUuzqlUpTMh3azK1cdY8xKYCvWmN8dKI6INBKR\neSJy1Oli3i4iw0Ukt0ec60XkpIgcFpGAvUwiMsHpkn3AQxbQZy4iWUWki9OVfVpEzovIBhHpKiJZ\nPOLlFJEEEVnpkz67iFxw8m/vo3vOkT8ZxiOq7hzH+BpyAGPMgUCGXERuEJFXRGStiJxxuud/E5F3\nRKSgT9xCIjLO8TcniMgREZktIn7fh+MSMc6xseMmOeUytB7xyojIVBHZ4+R5SESmi0jpMO75ihGR\nHM47stt5Z7Y5z8O3Munq0p8qIqVE5FPnHbrs2XUvInlF5E3nGcY79xwrIg1TKENbEfnBeS8vOGn7\niki2dLx1RVFjrmQ4ib4CEekPfAfcB8wF3gG2AS8BK0XkJgBjzAXgUyA/0CRAPtmAR4FDTn5BEZFo\n4FtgHJAbmA68j/2NjAGmueIaY84Cq4F7ReRGj2xqAK4/7fo+l3Cdx6ZUDodjzrFUGHFd5c8DxAFD\ngZzYVv0E4DegI9a14IpbHFgLdAG2A28BC4BmQJxnxceHh7DP6AzwLvbZu/JsDKwHHgfWAKOx99oa\nWC0iVcK9l79JNPYeHgTmAx8A2bHPo1+QNCWAn7DujE+w3/dpABEpCqwDegFHSL7fssB3IvK0b2Yi\nMhn73twBfIF9l44Dg5w06tZU0g9jjAYN6RIAY18xP3lt4BJwEdtd7Kmr56SLA3L76Do4ulEesmqO\n7PMA13nY0b0VoFxLfGSvO/IxQJSHPAqY5OhaesgHOrJmHrI3gSSsEdvjIc+CNdDbw3xuXZ28TwPD\ngH8C+UKkme6kmQBk8dHlBHJ5nC9w4vbxiVfdKf8xIGeA534ZaBzg2nmAE1i//p0+uvLAWWB9Wr5D\nPnF2OvHmAdk95AWwvviTQLSHvJgrX2BIkDyXOPfbxkeeG9iIHbNQMMAzmu1ZBp93q9vV+u1puPZC\nhhdAw/9u8PjDfN0Jb2BbNwnOH+ULAdLMcdKUC5LnBuCwj+x3bMUgr4/8WyevCgHKtcTj3GVsDwBZ\nA1wzt1PezzxkdZx8RnrIVmNbes87ulKOvIpz/n6Yz02AIY7BMB7hL2AiUNEnfgFs5Wg/kCNE3rc5\nee3yNHAe+o8c/f95yFyGak6QPLs5+ueD6Ec5+jtTKltK71CIODudeHcE0E1zdOU9ZMUc2UEgW4A0\nFR39rCDXa+nou/i8l4n4VEAdXRS2orM6PX9vGq7toN0+ytWgv8+5AZ4yxkwJELca9k/xYRF5OID+\nOiC/iOQzxri6o6dhKwptgPEAjo+4EbDBGLMpRPlKAXmBP4G+EnjGXDweXdXAj46svnO9XFijPQxY\n7MSpD/wB3O+cLyYMjDEG6C0iw5x7iHHyvg/oBHQUkeeMMROdJFWxFZJlxphzIbJ3TWlbbozxc3E4\nZWznxPvQR7c6SJ7VnGNFEXk9gN7lLigLbAlRvr/LKWPMtgDyPc4xTwDdz8aYiwHkrvvJFeR+8jvH\nsmDHKmArAEeB7kHen4t4vz+KkqaoMVfSHeOMRBaRHNg/yknAuyKyyxjja+DyYd9L3wqALzlJ9i1/\niPVLPoFjzLG+26x4+LpTIJ9zLBniujldH4wxCSKyAviniOTHdlFHAbHGmN9E5ADWmE9wjoYwjbnH\nNU5iezI+Bffz6wX0BcaIyNfGmEPYngOAfWFkm8s5Hgiid8lzB9AdDJLG9fz8/Mg+5AyhvxJOBpEn\nOceoALpQ99PACcFw3U8ebG9KfkK/t4qSLugAOOWqYYw5Z4z5HmiO/XOd5rRqPDkFnDDGSIiwyyPf\nvVhDea+IlHHET2Bb+NPDKNop5zgnxDWL+6RbjP0Tr++EC9j54S5dPWcQXi3gV2PM4TDKEhTn+b0G\nrMAOtKvhqFyG7NYwsnHd6y1B9IV84nkVIUSeFUM8v3AqVleTUPfTLcT9dPSJvyHUe5u+t6Ncy6gx\nV646Trf3RKz/toePehWQR0TKpTLbqc7xCRGpBFQA5htjjoSRdivWIMY4o9rDxTUyvT62Kz3O2BH2\nLl1e4DkgB+GNYg+XM87RZRxWY336tZ3We0pcfqVhAAADDElEQVS4FpqpGWR0dT3nmJo57KucY61U\npMnMpOp+jJ3d8CtQTkTyplupFCUF1JgrGcVgrB/xJWdalYtRznGi2JXQvHDmEscEyG82dvR3O+yA\nLUg28ClijEnCjmIvBLwjItkDXLeQiNzpI16PbZW1BMrhbbBdXeqv+pyHREReDlaZEZGaWIObhPXb\n41RYZjrlH+E5J95Jk9Px6bt6MRZhB4F194l3H/AYdmT6nHDLC0zBVob6i8i9AcqcRSJo6VVjzFpg\nOdA62LoAInKXiBTwEI3EjueYLB5rIXjEz3MVpucp1zDqM1cyBGPMPhF5FzsSuieO0TPGxIpIL+w0\nrz9FZB52FHdOoCh2FPkKoLFPfvEiMgu7cloXrD99biqKNAg7iOlZoLmILMb6oAtgfek1gD54DOAy\nxlwSu/hMS0cU66HbJSLbsXOZLwFLU1GWx4FhIrIV20o8gG3dl8P2AAjwH2PMfo80XbHTwJ4F6orI\nAuysgeLYQXQtsNOtcOKsBIY7C6CsBYpgp/JdBjoaY84QJsaYYyLyELYCsEpEYrEtVePkWw3rh74+\nFc8go3kMWwGbJCIvYmcpnMT2JlXAPutqwGEAY8xkZ8GdLsB25/nvxvbOFMdOx5yCffaKkvZk9HB6\nDf+7gRDTioCCwDknFPTR1QQ+w063SsAu3LER2wK6J0h+NV3XxK6ellK5lgSQC9Aea5SPO9fdh608\n9AaKBEjzgpPfKTzmpzu69xzdT6l8bpWxg9wWYysy8Vh//Hbs4iY1g6TLga1wbMKuPX8GW/kYDRTw\niXsrdnDeLuc+jwJfAlUD5NvBuY8OIcpdDBiLnRVwAdtTshU73a1VerxDTpydwM4gutedPOr6lNMA\nU0Pke6Pzva/DzpWPd76PucAzBJgGCDyAnRJ52HmuB7FukMFAmav5+9NwbQVdm11RFEVRIhz1mSuK\noihKhKPGXFEURVEiHDXmiqIoihLhqDFXFEVRlAhHjbmiKIqiRDhqzBVFURQlwlFjriiKoigRjhpz\nRVEURYlw1JgriqIoSoTz/z4xwB1xprg+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a1cb810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wordcloud(cluster1[\"summaryClean\"][2], title = \"Review Score Three\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+GXJSiuirQf09TNLjRkdky/OW/YuwTexHxw0VKNNHQx8AYKNNblnjdQqtCSTK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HVlthJKuPRUybj8nwCE/aN/GtKuJ7Z8/bUFSz4MwZZmwmx0ktBCv/LU0S/cyQ1URaUtCtpK6njS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HlFTE4n2cKaQldSApoYLcEpJ6uKIqB03VSTru4rJwAICF/hO+c9UFG+1cYN+CPEkPVpmB8Ubc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\npps0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a1cb810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wordcloud(cluster1[\"summaryClean\"][3], title = \"Review Score Four\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WtQOGNqyjdLklXdpj2fU7uB/xFZvvk05NjSs5AgA6ublQco+/RAMAbd9140qOVPqtv8eU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XHGR8CCLG4lb8XQxu7w/7oBsiy20DFsGfK7OsHYC76JZABbVnEiFH9+V7vruEhtrcIqiglCkmIf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T+6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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110a23d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_wordcloud(cluster1[\"summaryClean\"][4], title = \"Review Score Five\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
